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Low Probability of Intercept-Based Radar Waveform Design for Spectral Coexistence of Distributed Multiple-Radar and Wireless Communication Systems in Clutter

by Chenguang Shi 1,†, Fei Wang 1,*,†, Sana Salous 2,† and Jianjiang Zhou 1,†
1
Key Laboratory of Radar Imaging and Microwave Photonics, Ministry of Education, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
2
School of Engineering and Computing Sciences, Durham University, Durham DH1 3DE, UK
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Entropy 2018, 20(3), 197; https://doi.org/10.3390/e20030197
Received: 17 December 2017 / Revised: 21 February 2018 / Accepted: 23 February 2018 / Published: 16 March 2018
(This article belongs to the Special Issue Radar and Information Theory)
In this paper, the problem of low probability of intercept (LPI)-based radar waveform design for distributed multiple-radar system (DMRS) is studied, which consists of multiple radars coexisting with a wireless communication system in the same frequency band. The primary objective of the multiple-radar system is to minimize the total transmitted energy by optimizing the transmission waveform of each radar with the communication signals acting as interference to the radar system, while meeting a desired target detection/characterization performance. Firstly, signal-to-clutter-plus-noise ratio (SCNR) and mutual information (MI) are used as the practical metrics to evaluate target detection and characterization performance, respectively. Then, the SCNR- and MI-based optimal radar waveform optimization methods are formulated. The resulting waveform optimization problems are solved through the well-known bisection search technique. Simulation results demonstrate utilizing various examples and scenarios that the proposed radar waveform design schemes can evidently improve the LPI performance of DMRS without interfering with friendly communications. View Full-Text
Keywords: radar waveform design; signal-to-clutter-plus-noise ratio (SCNR); mutual information (MI); low probability of intercept (LPI); spectral coexistence; distributed multiple-radar system (DMRS) radar waveform design; signal-to-clutter-plus-noise ratio (SCNR); mutual information (MI); low probability of intercept (LPI); spectral coexistence; distributed multiple-radar system (DMRS)
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Shi, C.; Wang, F.; Salous, S.; Zhou, J. Low Probability of Intercept-Based Radar Waveform Design for Spectral Coexistence of Distributed Multiple-Radar and Wireless Communication Systems in Clutter. Entropy 2018, 20, 197.

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