The Experts below are selected from a list of 360 Experts worldwide ranked by ideXlab platform
Kutluyil Dogancay - One of the best experts on this subject based on the ideXlab platform.
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on waveform design in interference tolerant range doppler Estimation for wideband multistatic radars
European Signal Processing Conference, 2011Co-Authors: Antonio Napolitano, Kutluyil DogancayAbstract:The problem of waveform selection for range-Doppler Estimation in wide-band multistatic radars is addressed. The transmitted signal is assumed to be cyclostationary, and cyclostationarity properties are exploited for range-Doppler Estimation in severe noise and interference environments. Simulation studies are carried out to investigate waveform parameter selection for better Estimation Performance.
Allen W. Glisson - One of the best experts on this subject based on the ideXlab platform.
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Antenna effects on a monostatic MIMO radar for direction Estimation, a Cramèr-Rao lower bound analysis
IEEE Transactions on Antennas and Propagation, 2011Co-Authors: Xuan Hui Wu, Ahamad A. Kishk, Allen W. GlissonAbstract:Antenna effects on a monostatic multiple-input-multiple-output (MIMO) Radar for direction Estimation are studied by analyzing the Cramèr-Rao lower bound (CRLB). The CRLB is derived for a multi-band MIMO Radar system, and is in a form that incorporates the characteristics of a practical antenna array. Two different uniform linear antenna arrays, one narrowband and the another wideband, are investigated by exploring the CRLB. The Estimation Performance for the real antenna array is compared to that for an ideal array composed of isotropic antenna elements. It is found out that the mutual coupling between antenna elements alters the radiation patterns a lot, and therefore tremendously affects the Estimation Performance. Furthermore, the study demonstrates that by distributing the transmitted power over several frequency bands, more accurate Estimation can be achieved due to frequency diversity, and the negative effects of radiation pattern deviation can be alleviated.
Antonio Napolitano - One of the best experts on this subject based on the ideXlab platform.
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on waveform design in interference tolerant range doppler Estimation for wideband multistatic radars
European Signal Processing Conference, 2011Co-Authors: Antonio Napolitano, Kutluyil DogancayAbstract:The problem of waveform selection for range-Doppler Estimation in wide-band multistatic radars is addressed. The transmitted signal is assumed to be cyclostationary, and cyclostationarity properties are exploited for range-Doppler Estimation in severe noise and interference environments. Simulation studies are carried out to investigate waveform parameter selection for better Estimation Performance.
Xuan Hui Wu - One of the best experts on this subject based on the ideXlab platform.
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Antenna effects on a monostatic MIMO radar for direction Estimation, a Cramèr-Rao lower bound analysis
IEEE Transactions on Antennas and Propagation, 2011Co-Authors: Xuan Hui Wu, Ahamad A. Kishk, Allen W. GlissonAbstract:Antenna effects on a monostatic multiple-input-multiple-output (MIMO) Radar for direction Estimation are studied by analyzing the Cramèr-Rao lower bound (CRLB). The CRLB is derived for a multi-band MIMO Radar system, and is in a form that incorporates the characteristics of a practical antenna array. Two different uniform linear antenna arrays, one narrowband and the another wideband, are investigated by exploring the CRLB. The Estimation Performance for the real antenna array is compared to that for an ideal array composed of isotropic antenna elements. It is found out that the mutual coupling between antenna elements alters the radiation patterns a lot, and therefore tremendously affects the Estimation Performance. Furthermore, the study demonstrates that by distributing the transmitted power over several frequency bands, more accurate Estimation can be achieved due to frequency diversity, and the negative effects of radiation pattern deviation can be alleviated.
Arye Nehorai - One of the best experts on this subject based on the ideXlab platform.
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frequency hopping code design for mimo radar Estimation using sparse modeling
IEEE Transactions on Signal Processing, 2012Co-Authors: Sandeep Gogineni, Arye NehoraiAbstract:We consider the problem of multiple-target Estimation using a colocated multiple-input multiple-output (MIMO) radar system. We employ sparse modeling to estimate the unknown target parameters (delay, Doppler) using a MIMO radar system that transmits frequency-hopping waveforms. We formulate the measurement model using a block sparse representation. We adaptively design the transmit waveform parameters (frequencies, amplitudes) to improve the Estimation Performance. Firstly, we derive analytical expressions for the correlations between the different blocks of columns of the sensing matrix. Using these expressions, we compute the block coherence measure of the dictionary. We use this measure to optimally design the sensing matrix by selecting the hopping frequencies for all the transmitters. Secondly, we adaptively design the amplitudes of the transmitted waveforms during each hopping interval to improve the Estimation Performance. To perform this amplitude design, we initialize it by transmitting constant-modulus waveforms of the selected frequencies to estimate the radar cross section (RCS) values of all the targets. Next, we make use of these RCS estimates to optimally select the waveform amplitudes. We demonstrate the Performance improvement due to the optimal design of waveform parameters using numerical simulations. Further, we employ compressive sensing to conduct accurate Estimation from far fewer samples than the Nyquist rate.
