The Experts below are selected from a list of 360 Experts worldwide ranked by ideXlab platform
Juha Kostamovaara - One of the best experts on this subject based on the ideXlab platform.
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a wide dynamic range cmos laser Radar Receiver with a time domain walk error compensation scheme
IEEE Transactions on Circuits and Systems I-regular Papers, 2017Co-Authors: Sami Kurtti, Jan Nissinen, Juha KostamovaaraAbstract:This integrated Receiver channel designed for a pulsed time-of-flight (TOF) laser rangefinder consists of a fully differential transimpedance amplifier channel and a timing discriminator. The amplitude-dependent timing walk error is compensated by measuring the width and rise time of the received pulse echo and using this information for calibration. The measured bandwidth, transimpedance and minimum detectable signal (SNR ~10) of the Receiver channel are 230 MHz, $100~\text {k}\Omega $ and ${\sim } 1~\mu \text {A}$ respectively. The single-shot precision of the Receiver is ~3 cm at an SNR of 13 and the measurement accuracy is ±4 mm with compensation within a dynamic range of ~1:100 000. The Receiver circuit was realized in a $0.35~\mu \text {m}$ CMOS process and has a power consumption of 150 mW. The functionality of the Receiver channel was verified over a temperature range of -20 °C to +50 °C.
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An Integrated Laser Radar Receiver Channel Utilizing a Time-Domain Walk Error Compensation Scheme
IEEE Transactions on Instrumentation and Measurement, 2011Co-Authors: Sami Kurtti, Juha KostamovaaraAbstract:An integrated Receiver channel for a pulsed time-of-flight (TOF) laser rangefinder has been designed and fabricated in a 0.35-μm SiGe BiCMOS process. The Receiver channel generates a timing mark for the TDC by means of a leading-edge timing discriminator that detects the crossover of the received pulse with respect to a set reference level. The walk error generated by the amplitude variation is compensated in the time domain on the basis of the measured dependence of the walk on the length of the received pulse. The measurement accuracy is ±15 ps with compensation within a dynamic range of 1:100000, and the single-shot precision and power consumption are 120 ps for a minimum detectable signal of ~1 μA and 115 mW, respectively.
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laser Radar Receiver channel with timing detector based on front end unipolar to bipolar pulse shaping
IEEE Journal of Solid-state Circuits, 2009Co-Authors: S Kurtti, Juha KostamovaaraAbstract:An integrated Receiver channel for a pulsed time-of-flight laser range finder is presented based on a timing discrimination principle in which the incoming unipolar detector current pulse is converted to a bipolar pulse at the front end of the Receiver channel. Thus no optical or electrical gain control is needed within the dynamic range of the Receiver, which according to measurements is 1:3000 with a timing walk error of plusmn 55 ps (plusmn 8 mm in distance). The minimum detectable input signal current is about 1.3 muA at an SNR of 10 with a bandwidth of 200 MHz. The circuit is realized in a 0.35 mum SiGe BiCMOS process and consumes 220 mW of power.
Athina P Petropulu - One of the best experts on this subject based on the ideXlab platform.
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optimum co design for spectrum sharing between matrix completion based mimo Radars and a mimo communication system
IEEE Transactions on Signal Processing, 2016Co-Authors: Athina P Petropulu, Wade TrappeAbstract:Spectrum sharing enables Radar and communication systems to share the spectrum efficiently by minimizing mutual interference. Recently proposed multiple-input multiple-output Radars based on sparse sensing and matrix completion (MIMO-MC), in addition to reducing communication bandwidth and power as compared with MIMO Radars, offer a significant advantage for spectrum sharing. The advantage stems from the way the sampling scheme at the Radar Receivers modulates the interference channel from the communication system transmitters, rendering it symbol dependent and reducing its row space. This makes it easier for the communication system to design its waveforms in an adaptive fashion so that it minimizes the interference to the Radar subject to meeting rate and power constraints. Two methods are proposed. First, based on the knowledge of the Radar sampling scheme, the communication system transmit covariance matrix is designed to minimize the effective interference power (EIP) at the Radar Receiver, while maintaining certain average capacity and transmit power for the communication system. Second, a joint design of the communication transmit covariance matrix and the MIMO-MC Radar sampling scheme is proposed, which achieves even further EIP reduction.
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a joint design approach for spectrum sharing between Radar and communication systems
International Conference on Acoustics Speech and Signal Processing, 2016Co-Authors: Harshat Kumar, Athina P PetropuluAbstract:A joint design approach is proposed for the coexistence of MIMO Radars and a communication system, for a scenario in which the targets fall in different range bins. Radar transmit precoding and adaptive communication transmission are adopted, and are jointly designed to maximize signal-to-interference-plus-noise ratio (SINR) at the Radar Receiver subject to the communication system meeting certain rate and power constraints. We start with the design of a system in which knowledge of the target information is used. Such design can be used to benchmark the performance of schemes that do not use target information. Then, we propose a design which does not require target information. In both cases, the optimization problems are nonconvex with respect to the design variables and have high computational complexity. Alternating optimization and sequential convex programming techniques are used to find a local maximum. Based on the analysis of the obtained solution, we propose a reduced dimensionality design, which has reduced complexity without degrading the Radar SINR. Simulation results validate the effectiveness of the proposed spectrum sharing framework.
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Radar precoding for spectrum sharing between matrix completion based mimo Radars and a mimo communication system
IEEE Global Conference on Signal and Information Processing, 2015Co-Authors: Athina P PetropuluAbstract:The paper investigates a new framework for spectrum sharing between a MIMO-MC Radar (MIMO Radar using matrix completion) and a MIMO communication system, based on Radar transmit pre-coding. The Radar transmit precoder is jointly designed with the communication codewords so that the SINR at the Radar Receiver is maximized while meeting certain rate and power constraints at the communication system. By shaping the transmit beam, the proposed approach results in enhanced SINR at the receive antennas. Unlike prior works, there is no need for sharing the transmit waveforms with the communication system; only the precoding matrix needs to be shared. Therefore, the proposed scheme is less vulnerable to adversaries. Simulation results demonstrate that the proposed method improves the Radar SINR and the matrix completion accuracy over previous approaches.
Sami Kurtti - One of the best experts on this subject based on the ideXlab platform.
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a wide dynamic range cmos laser Radar Receiver with a time domain walk error compensation scheme
IEEE Transactions on Circuits and Systems I-regular Papers, 2017Co-Authors: Sami Kurtti, Jan Nissinen, Juha KostamovaaraAbstract:This integrated Receiver channel designed for a pulsed time-of-flight (TOF) laser rangefinder consists of a fully differential transimpedance amplifier channel and a timing discriminator. The amplitude-dependent timing walk error is compensated by measuring the width and rise time of the received pulse echo and using this information for calibration. The measured bandwidth, transimpedance and minimum detectable signal (SNR ~10) of the Receiver channel are 230 MHz, $100~\text {k}\Omega $ and ${\sim } 1~\mu \text {A}$ respectively. The single-shot precision of the Receiver is ~3 cm at an SNR of 13 and the measurement accuracy is ±4 mm with compensation within a dynamic range of ~1:100 000. The Receiver circuit was realized in a $0.35~\mu \text {m}$ CMOS process and has a power consumption of 150 mW. The functionality of the Receiver channel was verified over a temperature range of -20 °C to +50 °C.
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An Integrated Laser Radar Receiver Channel Utilizing a Time-Domain Walk Error Compensation Scheme
IEEE Transactions on Instrumentation and Measurement, 2011Co-Authors: Sami Kurtti, Juha KostamovaaraAbstract:An integrated Receiver channel for a pulsed time-of-flight (TOF) laser rangefinder has been designed and fabricated in a 0.35-μm SiGe BiCMOS process. The Receiver channel generates a timing mark for the TDC by means of a leading-edge timing discriminator that detects the crossover of the received pulse with respect to a set reference level. The walk error generated by the amplitude variation is compensated in the time domain on the basis of the measured dependence of the walk on the length of the received pulse. The measurement accuracy is ±15 ps with compensation within a dynamic range of 1:100000, and the single-shot precision and power consumption are 120 ps for a minimum detectable signal of ~1 μA and 115 mW, respectively.
Robert W Heath - One of the best experts on this subject based on the ideXlab platform.
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jcr70 a low complexity millimeter wave proof of concept platform for a fully digital mimo joint communication Radar
arXiv: Signal Processing, 2020Co-Authors: Preeti Kumari, Amine Mezghani, Robert W HeathAbstract:A fully-digital wideband joint communication-Radar (JCR) with a multiple-input-multiple-output (MIMO) architecture at the millimeter-wave (mmWave) band will enable high joint communication and Radar performance with enhanced design flexibility. A quantized Receiver with few-bit analog-to-digital converters (ADCs) will enable a practical JCR solution with reduced power consumption for futuristic portable devices and autonomous vehicles. In this paper, we present a joint communication-Radar proof-of-concept platform, named JCR70, to evaluate and demonstrate the performance of these JCR systems using real channel measurements in the 71-76 GHz band. We develop this platform by extending a mmWave communication set-up with an additional full-duplex Radar Receiver and by capturing the MIMO JCR channel using a moving antenna on a sliding rail. To characterize the JCR performance of our developed tested, we conduct several indoor and outdoor experiments and apply traditional as well as advanced processing algorithms on the measured data. Additionally, we compare the performance of our JCR70 platform with the INRAS Radarbook, which is a state-of-the-art automotive Radar evaluation platform at 77 GHz. The results demonstrate that a quantized Receiver with 2-4 bit ADCs generally performed quite close to the high-resolution ADC for a signal-to-noise ratio of up to 5 dB. Our JCR70 platform with a fully digital JCR waveform at 73 GHz and 2 GHz bandwidth achieved higher resolution capability than the Radarbook due to higher bandwidth and larger synthesized antenna aperture.
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a mimo joint communication Radar measurement platform at the millimeter wave band invited paper
European Conference on Antennas and Propagation, 2020Co-Authors: Preeti Kumari, Amine Mezghani, Robert W HeathAbstract:A fully-digital wideband joint communication-Radar (JCR) at the millimeter-wave (mmWave) band will simultaneously enable high communication and Radar performances with enhanced design flexibility. In this paper, we present a measurement platform with a software-defined architecture to evaluate and demonstrate the performance of these JCR systems using real channel measurements. We develop this platform by extending a mmWave communication set-up with an additional full-duplex Radar Receiver and by capturing the MIMO JCR channel using a moving antenna on a sliding rail. To characterize the JCR performance, we conduct indoor experiments and apply traditional/advanced processing algorithms on the measured data. The results demonstrate that our testbed at 73 GHz with 2 GHz bandwidth can capture the JCR channel with high range/direction estimation accuracy. The comparison between the communication and Radar channel shows the potential for improving JCR performance by exploiting the antenna diversity due to widely-separated communication and Radar Receivers.
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ieee 802 11ad based Radar an approach to joint vehicular communication Radar system
arXiv: Information Theory, 2017Co-Authors: Preeti Kumari, Nuria Gonzalezprelcic, Junil Choi, Robert W HeathAbstract:Millimeter-wave (mmWave) Radar is widely used in vehicles for applications such as adaptive cruise control and collision avoidance. In this paper, we propose an IEEE 802.11ad-based Radar for long-range Radar (LRR) applications at the 60 GHz unlicensed band. We exploit the preamble of a single-carrier (SC) physical layer (PHY) frame, which consists of Golay complementary sequences with good correlation properties, as a Radar waveform. This system enables a joint waveform for automotive Radar and a potential mmWave vehicular communication system based on IEEE 802.11ad, allowing hardware reuse. To formulate an integrated framework of vehicle-to-vehicle (V2V) communication and LRR based on a mmWave consumer wireless local area network (WLAN) standard, we make typical assumptions for LRR applications and incorporate the full duplex Radar assumption due to the possibility of sufficient isolation and self-interference cancellation. We develop single- and multi-frame Radar Receiver algorithms for target detection as well as range and velocity estimation within a coherent processing interval. Our proposed Radar processing algorithms leverage channel estimation and time-frequency synchronization techniques used in a conventional IEEE 802.11ad Receiver with minimal modifications. Analysis and simulations show that in a single target scenario, a Gbps data rate is achieved simultaneously with cm-level range accuracy and cm/s-level velocity accuracy. The target vehicle is detected with a high probability of detection ($>$99.9$\%$) at a low false alarm of 10$^{-6}$ for an equivalent isotropically radiated power (EIRP) of 43 dBm up to a vehicle separation distance of 200 m.
Sana Salous - One of the best experts on this subject based on the ideXlab platform.
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Low Probability of Intercept-Based Optimal Power Allocation Scheme for an Integrated Multistatic Radar and Communication System
IEEE Systems Journal, 2020Co-Authors: Chenguang Shi, F. Wang, Jianjiang Zhou, Mathini Sellathurai, Sana SalousAbstract:This paper investigates the problem of low probability of intercept-based optimal power allocation (LPI-OPA) for an integrated multistatic Radar and communication system, which consists of multiple transmitters operating at different frequencies, a Radar Receiver, and a communication Receiver (CR). The integrated multistatic Radar and communication system is capable of fulfilling the requirements of both Radar and communication subsystems. The key tenet of the integrated system is to minimize the total power consumption by optimizing the transmit power allocation at each transmitter for Radar waveforms and information signals, which is constrained by a predetermined target detection performance for the RR and a desired information rate for the CR. Since the analytical closed-form expression of the probability of detection is not tractable, its upper bound is derived. We analytically show that the resulting optimization problem can be reformulated as two subproblems, which can be solved by an efficient solution procedure based on the approach of linear programming and the Karush–Kuhn–Tuckers optimality conditions. Simulation results are provided to show that the LPI performance of the integrated multistatic Radar and communication system can significantly be enhanced by employing our proposed LPI-OPA scheme.
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power minimization based robust ofdm Radar waveform design for Radar and communication systems in coexistence
IEEE Transactions on Signal Processing, 2018Co-Authors: Chenguang Shi, F. Wang, Jianjiang Zhou, Mathini Sellathurai, Sana SalousAbstract:This paper considers the problem of power minimization-based robust orthogonal frequency division multiplexing (OFDM) Radar waveform design, in which the Radar coexists with a communication system in the same frequency band. Recognizing that the precise characteristics of target spectra are impossible to capture in practice, it is assumed that the target spectra lie in uncertainty sets bounded by known upper and lower bounds. Based on this uncertainty model, three different power minimization-based robust Radar waveform design criteria are proposed to minimize the worst-case Radar transmitted power by optimizing the OFDM Radar waveform, which are constrained by a specified mutual information requirement for target characterization and a minimum capacity threshold for communication system. These criteria differ in the way the communication signals scattered off the target are considered: 1) as useful energy, 2) as interference, or 3) ignored altogether at the Radar Receiver. Numerical simulations demonstrate that the Radar transmitted power can be efficiently reduced by exploiting the communication signals scattered off the target at the Radar Receiver. It is also shown that the robust waveforms bound the worst-case power-saving performance of Radar system for any target spectra in the uncertainty sets.
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optimal power allocation strategy in a joint bistatic Radar and communication system based on low probability of intercept
Sensors, 2017Co-Authors: Chenguang Shi, Sana Salous, F. Wang, Jianjiang ZhouAbstract:In this paper, we investigate a low probability of intercept (LPI)-based optimal power allocation strategy for a joint bistatic Radar and communication system, which is composed of a dedicated transmitter, a Radar Receiver, and a communication Receiver. The joint system is capable of fulfilling the requirements of both Radar and communications simultaneously. First, assuming that the signal-to-noise ratio (SNR) corresponding to the target surveillance path is much weaker than that corresponding to the line of sight path at Radar Receiver, the analytically closed-form expression for the probability of false alarm is calculated, whereas the closed-form expression for the probability of detection is not analytically tractable and is approximated due to the fact that the received signals are not zero-mean Gaussian under target presence hypothesis. Then, an LPI-based optimal power allocation strategy is presented to minimize the total transmission power for information signal and Radar waveform, which is constrained by a specified information rate for the communication Receiver and the desired probabilities of detection and false alarm for the Radar Receiver. The well-known bisection search method is employed to solve the resulting constrained optimization problem. Finally, numerical simulations are provided to reveal the effects of several system parameters on the power allocation results. It is also demonstrated that the LPI performance of the joint bistatic Radar and communication system can be markedly improved by utilizing the proposed scheme.
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Low probability of intercept-based adaptive Radar waveform optimization in signal-dependent clutter for joint Radar and cellular communication systems
EURASIP Journal on Advances in Signal Processing, 2016Co-Authors: Sana Salous, F. Wang, Jianjiang ZhouAbstract:In this paper, we investigate the problem of low probability of intercept (LPI)-based adaptive Radar waveform optimization in signal-dependent clutter for joint Radar and cellular communication systems, where the Radar system optimizes the transmitted waveform such that the interference caused to the cellular communication systems is strictly controlled. Assuming that the precise knowledge of the target spectra, the power spectral densities (PSDs) of signal-dependent clutters, the propagation losses of corresponding channels and the communication signals is known by the Radar, three different LPI based criteria for Radar waveform optimization are proposed to minimize the total transmitted power of the Radar system by optimizing the multicarrier Radar waveform with a predefined signal-to-interference-plus-noise ratio (SINR) constraint and a minimum required capacity for the cellular communication systems. These criteria differ in the way the communication signals scattered off the target are considered in the Radar waveform design: (1) as useful energy, (2) as interference or (3) ignored altogether. The resulting problems are solved analytically and their solutions represent the optimum power allocation for each subcarrier in the multicarrier Radar waveform. We show with numerical results that the LPI performance of the Radar system can be significantly improved by exploiting the scattered echoes off the target due to cellular communication signals received at the Radar Receiver.
