SINR- and MI-Based Maximin Robust Waveform Design

Wang, Bin; Xu, Chen; Xin, Fengming; Song, Xin

doi:10.3390/e21010033

Cited by 7 publications

(16 citation statements)

References 24 publications

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“…In [ 13 ], the MI-based waveform design in signal-dependent interference and the MI-SNR relationship were investigated, and a comprehensive theory of matched illumination waveforms for extended targets was presented. Considering the uncertainties of radar target prior information, signal-to-interference-plus-noise ratio (SINR)- and MI-based maximin robust waveforms were designed in [ 14 ]. By defining mutual information based on energy spectral variance, a classification waveform algorithm was derived in [ 15 ].…”

Section: Introductionmentioning

confidence: 99%

Information–Theoretic Radar Waveform Design under the SINR Constraint

Xiao

Deng

2020

Entropy

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This study investigates the information–theoretic waveform design problem to improve radar performance in the presence of signal-dependent clutter environments. The goal was to study the waveform energy allocation strategies and provide guidance for radar waveform design through the trade-off relationship between the information theory criterion and the signal-to-interference-plus-noise ratio (SINR) criterion. To this end, a model of the constraint relationship among the mutual information (MI), the Kullback–Leibler divergence (KLD), and the SINR is established in the frequency domain. The effects of the SINR value range on maximizing the MI and KLD under the energy constraint are derived. Under the constraints of energy and the SINR, the optimal radar waveform method based on maximizing the MI is proposed for radar estimation, with another method based on maximizing the KLD proposed for radar detection. The maximum MI value range is bounded by SINR and the maximum KLD value range is between 0 and the Jenson–Shannon divergence (J-divergence) value. Simulation results show that under the SINR constraint, the MI-based optimal signal waveform can make full use of the transmitted energy to target information extraction and put the signal energy in the frequency bin where the target spectrum is larger than the clutter spectrum. The KLD-based optimal signal waveform can therefore make full use of the transmitted energy to detect the target and put the signal energy in the frequency bin with the maximum target spectrum.

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Section: Introductionmentioning

confidence: 99%

Information–Theoretic Radar Waveform Design under the SINR Constraint

Xiao

Deng

2020

Entropy

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“…The power spectrum of jamming waveform is shown in Fig. 7, it includes the maximum SINR-based waveform and the improved maximum SINR-based waveform, and the SINR-based waveform is a compared waveform [48].…”

Section: Maximum Sinr-based Waveform With Maxmin Strategymentioning

confidence: 99%

“…Besides, Figs. 12 and 13 also include output SINR curves of SINR-based waveform [48] for comparison with the proposed waveforms.…”

Section: Performance Analysis Of Improved Maximum Sinr-based Waveform...mentioning

confidence: 99%

Adaptable waveform design for radar and jammer for multi-target using game theoretic strategies

Xin

Wang

Sun

et al. 2022

EURASIP J. Adv. Signal Process.

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In the environment of electronic warfare, the countermeasure between radar and jammer has become a hot issue. Finding the solution to optimal waveforms between them is very great significance. Aiming at the problem of multi-target detection in clutter environment, the authors propose the waveform optimization method based on signal-to-interference-plus-noise ratio (SINR) criterion for radar and jammer, respectively. When radar is the dominant player, the maxmin strategy is used to establish the optimization model to optimize the radar transmission waveform. When jammer is the dominant player, the minmax strategy is used to establish the optimization model to optimize the jammer waveform. When dealing with random multi-target, the authors also propose an adaptive weight method to solve the problem of summation of weighted multiple targets. Then, an improved method combined with Jensen’s inequality for radar and jammer is proposed, respectively, which could improve the detection performance of the radar system and reduce the computational complexity of maximum SINR-based method. The simulation results show that the proposed maximum SINR-based methods could adaptively allocate the transmission energy to improve the performance of the radar. The energy allocation of radar and jammer is slightly different under maxmin strategy and minmax strategy. The proposed improved methods could output the higher SINR than the maximum SINR-based methods. Both of the proposed methods could improve the performance of radar detecting targets.

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“…The remaining articles of this special issue [ 27 , 28 , 29 , 30 , 31 , 32 , 33 ] have topics within area of communications. On the one hand, the characterization of the achievable rate region of a given dual-hop multiple-access relay network, under linear beamforming, is analyzed in [ 27 ].…”

mentioning

confidence: 99%

“…Another exciting area of research covered in this special issue deals with radar signal processing. Two papers address the problem of designing the waveforms transmitted by the radar: in [ 31 ], Wang et al propose a technique to maximize the signal-to-interference-plus-noise ratio (SINR) for known- and random-target models, and the mutual information (MI) between the radar echos and the random-target spectrum responses. In [ 32 ], Hao et al present a cognitive waveform design method subject to a peak-to-average power ratio constraint.…”

mentioning

confidence: 99%