Information theoretic waveform design for OFDM radar‐communication coexistence in Gaussian mixture interference
Author(s) -
Du Zhen,
Zhang Zenghui,
Yu Wenxian
Publication year - 2019
Publication title -
iet radar, sonar and navigation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.489
H-Index - 82
eISSN - 1751-8792
pISSN - 1751-8784
DOI - 10.1049/iet-rsn.2019.0276
Subject(s) - waveform , orthogonal frequency division multiplexing , radar , computer science , electronic engineering , algorithm , interference (communication) , mutual information , telecommunications , engineering , artificial intelligence , channel (broadcasting)
In this study, mutual information (MI)‐based waveform design methods for the coexistence between orthogonal frequency division multiplexing (OFDM) radar system and communication system corrupted by Gaussian mixture interference are investigated for the first time. Firstly, the received signal is formulated as a Bayesian linear model. Subsequently, from a statistical perspective, the approximate differential entropy of received signal is derived, followed by three different approximate MIs and corresponding theoretic upper bounds. After that, two adaptive waveform design methods are proposed by maximising MI and minimising radar transmitted power, respectively. The numerical results show that exploiting the reflected communication signals helps to obtain higher MI value and reduce radar transmitted power. Besides, by maximising the MIs, the optimised radar waveforms remarkably outperform the fixed ones, which benefits the estimation performance.
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