Journal of Northeastern University Natural Science ›› 2019, Vol. 40 ›› Issue (12): 1690-1694.DOI: 10.12068/j.issn.1005-3026.2019.12.004

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Adaptive Radar Waveform Design Based on Dual Mutual Information Criterion

XIN Feng-ming1, WANG Jin-kuan2, WANG Bin1, LI Mei-mei1   

  1. 1. School of Computer and Communication Engineering, Northeastern University at Qinhuangdao, Qinhuangdao 066004, China; 2. School of Information Science & Engineering, Northeastern University, Shenyang 110819, China.
  • Received:2018-12-05 Revised:2018-12-05 Online:2019-12-15 Published:2019-12-12
  • Contact: XIN Feng-ming
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Abstract: Adaptive waveform optimization technology is one of the key technologies of cognitive radar, which can improve the performance of radar systems. For the target detection, an adaptive waveform design method based on dual mutual information (DMI) criterion was proposed in the clutter environment. The mutual information (MI) was maximized by the proposed method between the received signal and the target impulse response while the mutual information could be minimized between the received signal and clutter impulse response. With the transmitted signal energy constraint, the optimization model for optimal waveform was established, and the optimal waveform was solved by the maximum marginal allocation algorithm (MMA). The simulation results demonstrate the validation of the proposed method.

Key words: cognitive radar, waveform design, mutual information, entropy, maximum marginal allocation algorithm

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