Polarimetric MIMO Radar With Distributed Antennas for Target Detection

Gogineni, Sandeep; Nehorai, Arye

doi:10.1109/tsp.2009.2036472

Cited by 91 publications

(31 citation statements)

References 22 publications

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“…However, combining them linearly need not be the overall optimal solution, even if we spend much more time on doing so. This can be avoided by retaining the vector measurements, thereby showing better performance as demonstrated in [6].…”

Section: Scalar Measurement Systems Versus Vector Measurement Systemsmentioning

confidence: 99%

“…Such flexibility greatly enhances the polarimetric sensing capability of the radar system. For the mentioned reason, several papers concerning polarization optimization have appeared in the open literature during the last two decades aiming at the performance of polarimetric radars on target estimation [2,3], detection [4][5][6][7][8], tracking [9], and identification [4,10]. This paper will tackle with the problem of adaptively selecting waveform polarization to optimally estimate the target scattering matrix.…”

Section: Introductionmentioning

confidence: 99%

“…In most cases, polarimetric radar systems combine two received signals linearly and coherently at the receiver to give a scalar measurement [1]. Following [6], we call the radar employing such measurement mode as the "scalar measurement system". As to this kind of system, in [3], the authors devise an optimization algorithm to jointly design Tx/Rx polarizations that minimize the MSE of estimating the target scattering vector.…”

Section: Introductionmentioning

confidence: 99%

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Target scattering estimation in clutter with polarization optimization

Cheng

Shi

Chang

et al. 2015

EURASIP J. Adv. Signal Process.

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In this paper, we propose an adaptive waveform polarization method for the estimation of target scattering matrix in the presence of clutter. The proposed sequential algorithm, based on the concept of sequential minimum mean square error (MSE) estimation, to determine the coefficients of the scattering matrix, guarantees the convergence and the resulting computational complexity is linear with the number of iterations. The effectiveness of the proposed method is validated through numerical results, underlining the performance improvement given by joint transmission and reception (Tx/Rx) polarization optimization for the scalar system. Also, the results show that the vector system with transmission polarization optimization provides a comparative performance as the scalar measurement system employing joint Tx/Rx polarization optimization. Less computation burden highlights the advantage of the former mode.

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Section: Scalar Measurement Systems Versus Vector Measurement Systemsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Target scattering estimation in clutter with polarization optimization

Cheng

Shi

Chang

et al. 2015

EURASIP J. Adv. Signal Process.

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“…Polarization diversity have been proven to be useful in array signal processing and various types of radar systems [8,9,11,12].…”

Section: Introductionmentioning

confidence: 99%

Combined Esprit-Rootmusic for Doa-Dod Estimation in Polarimetric Bistatic Mimo Radar

Bencheikh¹,

Wang²

2011

PIER Letters

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“…Multiple Input Multiple Output (MIMO) radar with widely separated (distributed) antennas exploits this property (spatial diversity) by obtaining different views of the target [9], [10]. In this paper (see also [11]) we propose a radar system that combines the advantages of distributed-antenna MIMO systems with the advantages offered by optimally choosing the transmit waveform polarizations. We derive a realistic signal model for this system by varying the scattering matrices with the angle of view.…”

Section: Introductionmentioning

confidence: 99%

Polarimetric MIMO radar with distributed antennas for target detection

Gogineni

Nehorai

2009

2009 Conference Record of the Forty-Third Asilomar Conference on Signals, Systems and Computers

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Distributed antenna radar systems provide spatial diversity gain by viewing the target from different angles. Polarimetric radar offers improved performance over conventional radar systems by exploiting polarization diversity. We propose a radar system that offers both spatial and polarimetric diversity gains for detecting stationary point-like targets. The receive antennas of the proposed system use 2D vector sensors, each measuring the horizontal and vertical components of the received electric field separately. We design the Neyman-Pearson detector for this proposed system and analyze its performance. This analysis is used to select the optimal transmit polarizations for this system. Using simulations, we demonstrate the improvement offered by the optimal choice of polarizations. We also show the spatial diversity offered by MIMO radar. 978-1-4244-5827-1/09/$26.00

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Polarimetric MIMO Radar With Distributed Antennas for Target Detection

Cited by 91 publications

References 22 publications

Target scattering estimation in clutter with polarization optimization

Target scattering estimation in clutter with polarization optimization

Combined Esprit-Rootmusic for Doa-Dod Estimation in Polarimetric Bistatic Mimo Radar

Polarimetric MIMO radar with distributed antennas for target detection

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