Adaptive Radar Waveform Design Based on Weighted MI and the Difference of Two Mutual Information Metrics

Fengming Xin, Bin Wang, Shumin Li, Xin Song, Chi-Hsu Wang and Danilo Comminiello

Complexity, 2021, vol. 2021, 1-12

Abstract: This study deals with the problem of radar waveform design based on the weighted mutual information (MI) and the difference of two mutual information metrics (DMI) in signal-dependent interference. Since the target and clutter information are included in the received signal at the beginning of the design, DMI-based waveform is designed according to the following criterion: maximizing the MI between the received signal and target impulse response while minimizing the MI between the received signal and the clutter impulse response. This criterion is equivalent to maximizing the difference between the first MI and the second MI. Then maximizing the difference of two types of MI is used as the objective function, and the optimization model with the transmitted waveform energy constraint is established. In order to solve it, we resort to maximum marginal allocation (MMA) method to find the DMI-based waveform. Since DMI-based waveform does not allocate energy to the frequency band where the clutter power spectral density (PSD) is greater than the target PSD, we propose to weight the MI-based waveform and DMI-based waveform to synthesize the final optimal waveform. It could provide different trade-offs between two types of MI. Simulation results show the proposed algorithm is valid.

Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:hin:complx:8947450

DOI: 10.1155/2021/8947450

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