Spectrally Compatible Waveform Design for MIMO Radar With ISL and PAPR Constraints

Shi, Shengnan; Wang, Zhaoyi; He, Zishu; Cheng, Ziyang

doi:10.1109/jsen.2019.2951740

Cited by 33 publications

(8 citation statements)

References 43 publications

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“…The optimal radar waveform is highly mission-dependent and depends on the target and surrounding environments; hence, a change in the target and environment causes the signal-to-interference-plus-noise (SINR) to change. However, less attention was paid to waveform design methods in the case of existing SINR constraints [ 29 , 30 , 31 ]. To our knowledge, a novel optimal radar waveform design method that combines the SNR and MI criteria was studied in [ 32 ], providing a smooth trade-off between the SNR of a particular target and the MI between the target response and the target echoes.…”

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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“…Such a constraint is called similarity constraint [48,49]. In addition, spectral constraints might be enforced due to the increasing scarcity of spectrum resources [50][51][52][53]. That is, the energy transmitted in certain frequency bands of the radar waveform is constrained to ensure the coexistence of the radar and certain communication system.…”

Section: Introductionmentioning

confidence: 99%

Optimisation of practically constrained waveforms for Rician target detection with multiple‐input‐multiple‐output radar

Wang

Tang

Zhang

2022

IET Radar Sonar & Navi

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In this paper, the waveform design for Rician target detection with multiple-inputmultiple-output radar is addressed. The relative entropy between the distributions of the observations under two hypotheses is employed as the design metric. Due to the difficulty of tackling the non-convex waveform design problem, a novel algorithm based on minorisation-maximisation is developed. Since a simple quadratic function is established to minorise the objective function, the presented algorithm has lower computational complexity than its counterparts. Moreover, it can be extended to design waveforms under many practical constraints, including the constant-envelope constraint, the similarity constraint, and the constant-envelope and similarity constraints. Numerical results are provided to show the effectiveness of the proposed algorithm for detecting Rician targets. Moreover, the designed waveforms can be used to enhance the detection performance of a Swerling 0 target in the presence of angle mismatch.

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“…In general, the transmitter design of MIMO radar can be roughly divided into two categories. The first category designs the temporal codes of the transmit waveforms, and the related discussions have been conducted based on mutual information maximisation [12,13], Cramer-Rao bound minimisation [14,15], spectral compatibility optimization [16,17], and so on. However, the nonorthogonality of the transmitted waveforms may cause trouble when separating them at the receiving end.…”

Section: Introductionmentioning

confidence: 99%

Transmitter and receiver design for integrated full‐duplex multiple‐input‐multiple‐output communication and multiple‐input‐multiple‐output radar system

Shi

Cheng

2022

IET Signal Processing

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This study discusses the integrated system of full‐duplex (FD) multiple‐input‐multiple‐output (MIMO) communication and MIMO radar, which has been rarely considered in published studies. Such an integrated system is composed of a base station and several uplink (UL) and downlink (DL) users, and is supposed to simultaneously implement three functionalities, that is, target detection, UL and DL communications. The degrees of freedom of system design involve the precoding and combining schemes for UL and DL communications, as well as the receiving filter for radar echo. An optimization problem is developed to maximise a compound communication sum‐rate metric subject to the SINR constraint imposed on target detection performance. The resulted non‐convex and NP‐hard problem is first divided into two sub‐problems. Then, for one of the sub‐problems that is still intractable, its solution is iteratively obtained based on the fractional programing technique and the consensus alternating direction method of multipliers algorithm. In the simulation part, the convergence performance and computational efficiency of the proposed algorithm are illustrated. In addition, the target detection performance, DL and UL communication performance of the integrated system are also evaluated.

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Spectrally Compatible Waveform Design for MIMO Radar With ISL and PAPR Constraints

Cited by 33 publications

References 43 publications

Information–Theoretic Radar Waveform Design under the SINR Constraint

Information–Theoretic Radar Waveform Design under the SINR Constraint

Optimisation of practically constrained waveforms for Rician target detection with multiple‐input‐multiple‐output radar

Transmitter and receiver design for integrated full‐duplex multiple‐input‐multiple‐output communication and multiple‐input‐multiple‐output radar system

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