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Augusto Aubry - One of the best experts on this subject based on the ideXlab platform.
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Hidden Convexity in Robust Waveform and Receive Filter Bank Optimization for Range Unambiguous Clutter
2020 IEEE International Radar Conference (RADAR), 2020Co-Authors: Augusto Aubry, Guolong Cui, Antonio De MaioAbstract:This paper deals with the robust joint design of a radar transmit waveform and Receive Filter bank in a background of range unambiguous signal-dependent clutter. Assuming an unknown Doppler shift for the target, the worst-case signal-to-interference-plus-noise-ratio (SINR) at the output of the Receive Filter bank is considered as the figure of merit. The transceiver design is pursued considering a max-min optimization problem with some constraints on the transmit energy, similarity, and signal dynamic range. Hidden convexity is shown and a procedure to derive optimal waveform and Filters is given. Simulation results highlight the effectiveness of the devised method.
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Hidden Convexity in Robust Waveform and Receive Filter Bank Optimization Under Range Unambiguous Clutter
IEEE Signal Processing Letters, 2020Co-Authors: Augusto Aubry, Antonio De Maio, G. CuiAbstract:This letter deals with the robust joint design of radar transmit waveform and Receive Filter bank in a background of range unambiguous signal-dependent clutter. Assuming an unknown Doppler shift for the target, the worst-case Signal-to-Interference-plus-Noise-Ratio (SINR) at the output of the Receive Filter bank is considered as the figure of merit. The transceiver design is pursued considering a max-min optimization problem with some constraints on the transmit energy, similarity, and signal dynamic range. Hidden convexity is shown and a procedure to derive optimal waveform and Filters is given. Simulation results highlight the effectiveness of the devised method.
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knowledge based design of space time transmit code and Receive Filter for a multiple input multiple output radar in signal dependent interference
Iet Radar Sonar and Navigation, 2015Co-Authors: Seyyed Mohammad Karbasi, Mohammad Mahdi Naghsh, Augusto Aubry, Vincenzo Carotenuto, Mohammad Hassan BastaniAbstract:The authors deal with the robust design of multiple-input–multiple-output (MIMO) space–time transmit code (STTC) and space–time Receive Filter (STRF) for a point-like target embedded in signal-dependent interference. Specifically, they assume that the radar exploits knowledge provided by dynamic environmental database, to roughly predict the actual scattering scenario. Then, they devise an iterative method to optimise the (constrained) STTC and the (constrained) STRF which sequentially improves the worst-case (over interfering scatterers statistics) signal-to-interference-plus-noise ratio (SINR). Each iteration of the algorithm is handled via solving two (hidden) convex optimisation problems. The resulting computational complexity is linear with the number of iterations and polynomial with the sizes of the STTC and the STRF. At the analysis stage, they assess the performance of the proposed algorithm in terms of the achieved SINR. They show that properly exploiting the spatial degrees of freedom offered by the MIMO system, it is possible to obtain considerable SINR gains with respect to the conventional single-input–single-output system. Moreover, their results highlight the capability of the proposed method to robustify the performance of the designed system against possible knowledge inaccuracies.
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Robust Transmit Code and Receive Filter Design for Extended Targets in Clutter
IEEE Transactions on Signal Processing, 2015Co-Authors: Seyyed Mohammad Karbasi, Augusto Aubry, Antonio De Maio, M. H. BastaniAbstract:We propose a novel robust design method to jointly optimize the radar transmit code and Receive Filter, exploiting the Signal-to-Interference plus Noise Ratio (SINR) at the Receiver end as design figure of merit. We confer robustness to our method against uncertainties on the target impulse response (TIR) using a worst-case optimization approach based on two different uncertainty sets. The former is composed of a finite collection of TIRs, obtained by sampling the actual TIR at some aspect angles; the latter is a spherical uncertainty set. We further enforce a peak-to-average power ratio (PAR) constraint to the transmit code, which is very important for radar applications where the transmitter operates close to saturation. The design problem is tackled using a sequential optimization procedure alternating between two semi-definite programming (SDP) problems, followed by randomization steps. Our numerical results highlight the robustness and applicability of the proposed method in different scenarios.
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Robust design of transmit code and Receive Filter for extended targets in clutter
2015 23rd Iranian Conference on Electrical Engineering, 2015Co-Authors: Seyyed Mohammad Karbasi, Augusto Aubry, Antonio De Maio, M. H. BastaniAbstract:We propose a novel robust design method to jointly optimize the radar transmit code and Receive Filter, exploiting the signal-to-interference-plus-noise ratio (SINR) at the Receiver end as design figure of merit. We confer robustness to our method against uncertainties on the target impulse response (TIR) using a worst-case optimization approach. Precisely, we model the uncertainty set as a finite collection of TIRs, obtained sampling the actual TIR at some aspect angles. We further enforce a peak-to-average power ratio (PAR) constraint to the transmit code, which is very important for radar applications, where the transmitter operates close to saturation. The design problem is tackled using a sequential optimization procedure alternating between two semi-definite programming (SDP) problems, followed by randomization steps. Our numerical results highlight the robustness and applicability of the proposed method.
Petre Stoica - One of the best experts on this subject based on the ideXlab platform.
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A Doppler Robust Design of Transmit Sequence and Receive Filter in the Presence of Signal-Dependent Interference
IEEE Transactions on Signal Processing, 2014Co-Authors: Mohammad Mahdi Naghsh, Mojtaba Soltanalian, Mahmoud Modarres-hashemi, Antonio De Maio, Petre Stoica, Augusto AubryAbstract:In this paper, we study the joint design of Doppler robust transmit sequence and Receive Filter to improve the performance of an active sensing system dealing with signal-dependent interference. The signal-to-noise-plus-interference (SINR) of the Filter output is considered as the performance measure of the system. The design problem is cast as a max-min optimization problem to robustify the system SINR with respect to the unknown Doppler shifts of the targets. To tackle the design problem, which belongs to a class of NP-hard problems, we devise a novel method (which we call DESIDE) to obtain optimized pairs of transmit sequence and Receive Filter sharing the desired robustness property. The proposed method is based on a cyclic maximization of SINR expressions with relaxed rank-one constraints, and is followed by a novel synthesis stage. We devise synthesis algorithms to obtain high quality pairs of transmit sequence and Receive Filter that well approximate the behavior of the optimal SINR (of the relaxed problem) with respect to target Doppler shift. Several numerical examples are provided to analyze the performance obtained by DESIDE.
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Joint Design of the Receive Filter and Transmit Sequence for Active Sensing
IEEE Signal Processing Letters, 2013Co-Authors: Mojtaba Soltanalian, Bo Tang, Jian Li, Petre StoicaAbstract:Due to its long-standing importance, the problem of designing the Receive Filter and transmit sequence for clutter/interference rejection in active sensing has been studied widely in the last decades. In this letter, we propose a cyclic optimization of the transmit sequence and the Receive Filter. The proposed approach can handle arbitrary peak-to-average-power ratio (PAR) constraints on the transmit sequence, and can be used for large dimension designs (with ~ 103 variables) even on an ordinary PC.
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Optimization of the Receive Filter and Transmit Sequence for Active Sensing
IEEE Transactions on Signal Processing, 2012Co-Authors: Petre StoicaAbstract:This paper discusses the joint design of Receive Filters and transmit signals for active sensing applications such as radar and active sonar. The goal is to minimize the mean-square error (MSE) of target's scattering coefficient estimate in the presence of clutter and interference, which is equivalent to maximizing the signal-to-clutter-plus-interference ratio. A discrete-time signal model is assumed and practical constant-modulus or low peak-to-average-power ratio (PAR) constraints are imposed on the transmit signal. Several optimization methods are proposed for this joint design. Furthermore, the MSE criterion is expressed in the frequency domain and a corresponding MSE lower bound is derived. Numerical examples for different types of interferences are included to demonstrate the effectiveness of the proposed designs.
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Probing waveform synthesis and Receive Filter design for active sensing systems
Automatic Target Recognition XIX, 2009Co-Authors: William Roberts, Xing Tan, Ming Xue, Petre StoicaAbstract:Probing waveform synthesis and Receive Filter design play crucial roles in achievable performance for active sensing applications, including radar, sonar, and medical imaging. We focus herein on conventional single-input single-output (SISO) radar systems. A flexible Receive Filter design approach, at the costs of lower signal-to-noise ratio (SNR) and higher computational complexity, can be used to compensate for missing features of the probing waveforms. A well synthesized waveform, meaning one with good autocorrelation properties, can reduce computational burden at the Receiver and improve performance. Herein, we will highlight the interplay between waveform synthesis and Receiver design. We will review a novel, cyclic approach to waveform design, and then compare the merit factors of these waveforms to other well-known sequences. In our comparisons, we will consider chirp, Frank, Golomb, and P4 sequences. Furthermore, we will overview several advanced techniques for Receiver design, including data-independent instrumental variables (IV) Filters, a data-adaptive iterative adaptive approach (IAA), and a data-adaptive Sparse Bayesian Learning (SBL) algorithm. We will show how these designs can significantly outperform conventional matched Filter (MF) techniques for range compression as well as for range-Doppler imaging.
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sparse signal representation for mimo radar imaging
Asilomar Conference on Signals Systems and Computers, 2008Co-Authors: William Roberts, Tarik Yardibi, Xing Tan, Petre StoicaAbstract:MIMO radar can achieve superior performance over the conventional phased-array radar through waveform diversity. Considerations in transmit waveform and Receive Filter design are central to attaining improved performance through a MIMO system. Moreover, adaptive array techniques are needed to improve accuracy, resolution and to further provide interference suppression. Recently, the weighted least-squares based iterative adaptive approach (IAA), a non-parametric and user parameter-free method was shown to provide good performance for array processing. In this paper, we demonstrate how IAA can be extended for MIMO radar applications. Our simulations show that IAA outperforms other well-established methods in the field.
Antonio De Maio - One of the best experts on this subject based on the ideXlab platform.
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Hidden Convexity in Robust Waveform and Receive Filter Bank Optimization for Range Unambiguous Clutter
2020 IEEE International Radar Conference (RADAR), 2020Co-Authors: Augusto Aubry, Guolong Cui, Antonio De MaioAbstract:This paper deals with the robust joint design of a radar transmit waveform and Receive Filter bank in a background of range unambiguous signal-dependent clutter. Assuming an unknown Doppler shift for the target, the worst-case signal-to-interference-plus-noise-ratio (SINR) at the output of the Receive Filter bank is considered as the figure of merit. The transceiver design is pursued considering a max-min optimization problem with some constraints on the transmit energy, similarity, and signal dynamic range. Hidden convexity is shown and a procedure to derive optimal waveform and Filters is given. Simulation results highlight the effectiveness of the devised method.
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Hidden Convexity in Robust Waveform and Receive Filter Bank Optimization Under Range Unambiguous Clutter
IEEE Signal Processing Letters, 2020Co-Authors: Augusto Aubry, Antonio De Maio, G. CuiAbstract:This letter deals with the robust joint design of radar transmit waveform and Receive Filter bank in a background of range unambiguous signal-dependent clutter. Assuming an unknown Doppler shift for the target, the worst-case Signal-to-Interference-plus-Noise-Ratio (SINR) at the output of the Receive Filter bank is considered as the figure of merit. The transceiver design is pursued considering a max-min optimization problem with some constraints on the transmit energy, similarity, and signal dynamic range. Hidden convexity is shown and a procedure to derive optimal waveform and Filters is given. Simulation results highlight the effectiveness of the devised method.
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Robust Transmit Code and Receive Filter Design for Extended Targets in Clutter
IEEE Transactions on Signal Processing, 2015Co-Authors: Seyyed Mohammad Karbasi, Augusto Aubry, Antonio De Maio, M. H. BastaniAbstract:We propose a novel robust design method to jointly optimize the radar transmit code and Receive Filter, exploiting the Signal-to-Interference plus Noise Ratio (SINR) at the Receiver end as design figure of merit. We confer robustness to our method against uncertainties on the target impulse response (TIR) using a worst-case optimization approach based on two different uncertainty sets. The former is composed of a finite collection of TIRs, obtained by sampling the actual TIR at some aspect angles; the latter is a spherical uncertainty set. We further enforce a peak-to-average power ratio (PAR) constraint to the transmit code, which is very important for radar applications where the transmitter operates close to saturation. The design problem is tackled using a sequential optimization procedure alternating between two semi-definite programming (SDP) problems, followed by randomization steps. Our numerical results highlight the robustness and applicability of the proposed method in different scenarios.
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Robust design of transmit code and Receive Filter for extended targets in clutter
2015 23rd Iranian Conference on Electrical Engineering, 2015Co-Authors: Seyyed Mohammad Karbasi, Augusto Aubry, Antonio De Maio, M. H. BastaniAbstract:We propose a novel robust design method to jointly optimize the radar transmit code and Receive Filter, exploiting the signal-to-interference-plus-noise ratio (SINR) at the Receiver end as design figure of merit. We confer robustness to our method against uncertainties on the target impulse response (TIR) using a worst-case optimization approach. Precisely, we model the uncertainty set as a finite collection of TIRs, obtained sampling the actual TIR at some aspect angles. We further enforce a peak-to-average power ratio (PAR) constraint to the transmit code, which is very important for radar applications, where the transmitter operates close to saturation. The design problem is tackled using a sequential optimization procedure alternating between two semi-definite programming (SDP) problems, followed by randomization steps. Our numerical results highlight the robustness and applicability of the proposed method.
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ICASSP - A max-min design of transmit sequence and Receive Filter
2014 IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP), 2014Co-Authors: Mohammad Mahdi Naghsh, Mojtaba Soltanalian, Peter Stoica, Mahmoud Modarres-hashemi, Antonio De Maio, Augusto AubryAbstract:In this paper, we study the joint design of Doppler robust transmit sequence and Receive Filter to improve the performance of an active sensing system dealing with signal-dependent interference. The signal-to-interference-plus-noise ratio (SINR) of the Filter output is considered as the performance measure of the system. The design problem is cast as a max-min optimization problem to robustify the system SINR with respect to the unknown Doppler shifts of the targets. To tackle the design problem, we devise a novel method to obtain optimized pairs of transmit sequence and Receive Filter sharing the desired robustness property.
Guolong Cui - One of the best experts on this subject based on the ideXlab platform.
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Transmit-Receive Design for Non-Uniform Pulse Repetition Interval Airborne Radar in the Presence of Signal-Dependent Clutter
2020 IEEE Radar Conference (RadarConf20), 2020Co-Authors: Tao Fan, Guolong Cui, Na Gan, Zhihao JiangAbstract:This paper deals with the joint design of transmit waveform and Receive Filter to improve the clutter rejection capability for non-uniform pulse repetition interval (NUPRI) airborne radar. Specifically, a multipulse echo model accounting for a moving point-like target and signal-dependent clutter is first established. Then the echo is processed via the matching Filter and the windowed Doppler Filter bank to obtain the two-dimensional range-Doppler plane. Further, the integrated sidelobe level of clutter (ISLC) that spreads the region of the target of interest in the plane is considered to minimize forcing constant modulus constraint on the waveform. To solve the resultant nonconvex problem, the Sequential Greedy Optimization Algorithm (SGOA) through alternately updating the Receive Filter and transmit waveform is proposed to monotonically decrease ISLC to converge. In each iteration, the iterative algorithm based on coordinate descent (CD) framework and the sequential convex approximation algorithm are, respectively, explored to obtain the transmit waveform and Receive Filter. Finally, the performance of the proposed algorithm is assessed through numerical simulations showing its capability to suppress signal-dependent clutter.
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Hidden Convexity in Robust Waveform and Receive Filter Bank Optimization for Range Unambiguous Clutter
2020 IEEE International Radar Conference (RADAR), 2020Co-Authors: Augusto Aubry, Guolong Cui, Antonio De MaioAbstract:This paper deals with the robust joint design of a radar transmit waveform and Receive Filter bank in a background of range unambiguous signal-dependent clutter. Assuming an unknown Doppler shift for the target, the worst-case signal-to-interference-plus-noise-ratio (SINR) at the output of the Receive Filter bank is considered as the figure of merit. The transceiver design is pursued considering a max-min optimization problem with some constraints on the transmit energy, similarity, and signal dynamic range. Hidden convexity is shown and a procedure to derive optimal waveform and Filters is given. Simulation results highlight the effectiveness of the devised method.
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Robust transmitter–Receiver design for extended target in signal-dependent interference
Signal Processing, 2018Co-Authors: Guolong Cui, Fu Yue, Guan GuiAbstract:Abstract This paper focuses on the robust transmitter–Receiver design to improve the detectability of an extended target embedded in signal-dependent interference. Specifically, we allow uncertainties for both the interference and target impulse responses. An iterative algorithm is proposed to sequentially improve the worst-case Signal-to-Interference-plus-Noise Ratio (SINR) under the constant modulus constraint. Each iteration involves two max-min problems, which can be efficiently solved by generalized eigenvalue decomposition and the Dinkelbach’s procedure, respectively, to obtain the optimized Receive Filter vector and unimodular transmit sequence. The effectiveness of the proposed method is confirmed numerically in terms of the optimized SINR. We also highlight the improvements of the worst-case SINR compared to nominal designs without robustness considerations.
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Space-Time Transmit Code and Receive Filter Design for Colocated MIMO Radar
IEEE Transactions on Signal Processing, 2017Co-Authors: Guolong Cui, Vincenzo Carotenuto, Lingjiang KongAbstract:This paper deals with the design of multiple-input multiple-output radar space-time transmit code (STTC) and space-time Receive Filter (STRF) to enhance moving targets detection in the presence of signal-dependent interferences. An iterative procedure, whose convergence is analytically proved, is devised to maximize the Signal to interference plus noise ratio (SINR) accounting for both a similarity constraint and a constant modulus requirement on the probing waveform. Each iteration of the algorithm involves the solution of hidden convex problems. Specifically, both a convex problem (whose solution is provided in closed form) and a set of fractional programming problems, that can be globally solved in polynomial time via the Dinkelback's procedure, are settled. The computational complexity is linear with the number of iterations and polynomial with the sizes of the STTC and the STRF. In particular, the proposed technique provides a monotonic SINR improvement without limitations on the size of the similarity constraint and ensures convergence to a stationary point filling these important gaps in the open literature. Besides, the reported results highlight that the new devised procedure outperforms both in the optimized SINR value and the computational complexity than the available counterparts.
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Space-time transmit code and Receive Filter design for colocated MIMO radar
2016 IEEE Radar Conference (RadarConf), 2016Co-Authors: Guolong Cui, Lingjiang Kong, Vincenzo CarotenutoAbstract:This paper considers the design problem of Multiple-Input Multiple-Output (MIMO) radar space-time transmit code (STTC) and space-time Receive Filter (STRF) for a moving point-like target in the presence of signal-dependent interference. An iterative procedure, whose convergence is analytically proved, is devised to maximize the Signal to Interference plus Noise Ratio (SINR) accounting for both a similarity constraint and constant modulus requirements on the probing waveform. Each iteration of the algorithm, involves the solution of hidden convex problems. Specifically, both a convex problem (whose solution is provided in closed form) and a set of fractional programming problem, that can be globally solved in polynomial time via the Dinkelback's procedure, are solved. The computational complexity is linear in the number of iterations and polynomial with the sizes of the STTC and the STRF. Finally, numerical results are provided to assess the quality of the devised procedure.
Mohammad Mahdi Naghsh - One of the best experts on this subject based on the ideXlab platform.
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Transmit Signal and Receive Filter Design of PMCW Radar with Low-Resolution ADC : (Invited paper)
2020 IEEE Radar Conference (RadarConf20), 2020Co-Authors: Foozie Foroozmehr, Mohammad Mahdi Naghsh, Mahmoud Modarres-hashemiAbstract:In this paper, we consider the problem of transmit signal and Receive Filter design for a phase modulated continuous wave (PMCW) monostatic single-input single-output (SISO) radar system when low-resolution analog-to-digital-convertor (ADC) is used at the Receiver. By applying Bussgang decomposition model, the effect of low-resolution ADC is considered in the model, and two cases of colored and white noise are investigated. In the white noise case, it is concluded that the matched Filter (MF) is the best Filter maximizing the signal-to-interference-plus-noise-ratio (SINR) of the Receive Filter output. In the presence of colored noise, we propose a cyclic design procedure for maximizing the output SINR. Numerical examples illustrate the superiority of the proposed method in comparison with the well-known m- sequence probing signal with matched or designed Receive Filter. The effect of different parameters is also verified.
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knowledge based design of space time transmit code and Receive Filter for a multiple input multiple output radar in signal dependent interference
Iet Radar Sonar and Navigation, 2015Co-Authors: Seyyed Mohammad Karbasi, Mohammad Mahdi Naghsh, Augusto Aubry, Vincenzo Carotenuto, Mohammad Hassan BastaniAbstract:The authors deal with the robust design of multiple-input–multiple-output (MIMO) space–time transmit code (STTC) and space–time Receive Filter (STRF) for a point-like target embedded in signal-dependent interference. Specifically, they assume that the radar exploits knowledge provided by dynamic environmental database, to roughly predict the actual scattering scenario. Then, they devise an iterative method to optimise the (constrained) STTC and the (constrained) STRF which sequentially improves the worst-case (over interfering scatterers statistics) signal-to-interference-plus-noise ratio (SINR). Each iteration of the algorithm is handled via solving two (hidden) convex optimisation problems. The resulting computational complexity is linear with the number of iterations and polynomial with the sizes of the STTC and the STRF. At the analysis stage, they assess the performance of the proposed algorithm in terms of the achieved SINR. They show that properly exploiting the spatial degrees of freedom offered by the MIMO system, it is possible to obtain considerable SINR gains with respect to the conventional single-input–single-output system. Moreover, their results highlight the capability of the proposed method to robustify the performance of the designed system against possible knowledge inaccuracies.
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Knowledge-based design of space–time transmit code and Receive Filter for a multiple-input–multiple-output radar in signal-dependent interference
IET Radar Sonar & Navigation, 2015Co-Authors: Seyyed Mohammad Karbasi, Mohammad Mahdi Naghsh, Augusto Aubry, Vincenzo Carotenuto, Mohammad Hassan BastaniAbstract:The authors deal with the robust design of multiple-input–multiple-output (MIMO) space–time transmit code (STTC) and space–time Receive Filter (STRF) for a point-like target embedded in signal-dependent interference. Specifically, they assume that the radar exploits knowledge provided by dynamic environmental database, to roughly predict the actual scattering scenario. Then, they devise an iterative method to optimise the (constrained) STTC and the (constrained) STRF which sequentially improves the worst-case (over interfering scatterers statistics) signal-to-interference-plus-noise ratio (SINR). Each iteration of the algorithm is handled via solving two (hidden) convex optimisation problems. The resulting computational complexity is linear with the number of iterations and polynomial with the sizes of the STTC and the STRF. At the analysis stage, they assess the performance of the proposed algorithm in terms of the achieved SINR. They show that properly exploiting the spatial degrees of freedom offered by the MIMO system, it is possible to obtain considerable SINR gains with respect to the conventional single-input–single-output system. Moreover, their results highlight the capability of the proposed method to robustify the performance of the designed system against possible knowledge inaccuracies.
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ICASSP - A max-min design of transmit sequence and Receive Filter
2014 IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP), 2014Co-Authors: Mohammad Mahdi Naghsh, Mojtaba Soltanalian, Peter Stoica, Mahmoud Modarres-hashemi, Antonio De Maio, Augusto AubryAbstract:In this paper, we study the joint design of Doppler robust transmit sequence and Receive Filter to improve the performance of an active sensing system dealing with signal-dependent interference. The signal-to-interference-plus-noise ratio (SINR) of the Filter output is considered as the performance measure of the system. The design problem is cast as a max-min optimization problem to robustify the system SINR with respect to the unknown Doppler shifts of the targets. To tackle the design problem, we devise a novel method to obtain optimized pairs of transmit sequence and Receive Filter sharing the desired robustness property.
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a max min design of transmit sequence and Receive Filter
International Conference on Acoustics Speech and Signal Processing, 2014Co-Authors: Mohammad Mahdi Naghsh, Mojtaba Soltanalian, Peter Stoica, Antonio De Maio, Mahmoud Modarreshashemi, Augusto AubryAbstract:In this paper, we study the joint design of Doppler robust transmit sequence and Receive Filter to improve the performance of an active sensing system dealing with signal-dependent interference. The signal-to-interference-plus-noise ratio (SINR) of the Filter output is considered as the performance measure of the system. The design problem is cast as a max-min optimization problem to robustify the system SINR with respect to the unknown Doppler shifts of the targets. To tackle the design problem, we devise a novel method to obtain optimized pairs of transmit sequence and Receive Filter sharing the desired robustness property.
