4.4 Article

Low probability of intercept-based distributed MIMO radar waveform design against barrage jamming in signal-dependent clutter and coloured noise

Journal

IET SIGNAL PROCESSING
Volume 13, Issue 4, Pages 415-423

Publisher

INST ENGINEERING TECHNOLOGY-IET
DOI: 10.1049/iet-spr.2018.5212

Keywords

radar signal processing; MIMO radar; optimisation; covariance matrices; jamming; radar receivers; signal-dependent clutter; coloured noise; multiple-input multiple-output radar waveform design; extended target impulse response; barrage jamming signals; LPI-based scheme; MIMO radar system; transmitted waveforms; predetermined mutual information constraint; MIMO radar waveform design strategy; total transmission power; target-to-clutter ratios; radar waveform design scheme; radar waveform optimisation problem

Funding

  1. National Natural Science Foundation of China [61801212, 61371170, 61671239]
  2. Natural Science Foundation of Jiangsu Province [BK20180423]
  3. National Aerospace Science Foundation of China [20172752019, 2017ZC52036]
  4. Priority Academic Program Development of Jiangsu Higher Education Institutions (PADA)
  5. Key Laboratory of Radar Imaging and Microwave Photonics (Nanjing Univ. Aeronaut. Astronaut.), Ministry of Education, Nanjing University of Aeronautics and Astronautics, Nanjing, China

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This study investigates the problem of low probability of intercept (LPI)-based distributed multiple-input multiple-output (MIMO) radar waveform design against barrage jamming in signal-dependent clutter and coloured noise. Given the priori knowledge of the extended target impulse response, signal-dependent clutter, barrage jamming signals and coloured noise, the LPI-based scheme for optimal radar waveform design is proposed to minimise the total power consumption of the MIMO radar system by optimising the transmitted waveforms of different transmitters with a predetermined mutual information (MI) constraint for target characterisation performance. Firstly, the MI between the received echoes from the target at each receiver and the target impulse response is derived as a practical metric to characterise the parameter estimation performance of a target. Then, the LPI-based distributed MIMO radar waveform design strategy is developed. The resulting radar waveform optimisation problem is convex and solved analytically, whose solutions represent the optimum power allocation for each transmitter in the MIMO radar system. With the aid of numerical simulations, it is illustrated that to minimise the total transmission power, the optimal waveform should match with the target, clutter, jamming and coloured noise. In addition, it is also demonstrated that the LPI performance of the MIMO radar system can be significantly improved by employing the proposed radar waveform design scheme.

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