东北大学学报:自然科学版 ›› 2019, Vol. 40 ›› Issue (12): 1690-1694.DOI: 10.12068/j.issn.1005-3026.2019.12.004

• 信息与控制 • 上一篇    下一篇

基于双互信息准则的雷达自适应波形设计方法

辛凤鸣1, 汪晋宽2, 王彬1, 李梅梅1   

  1. (1.东北大学秦皇岛分校 计算机与通信工程学院, 河北 秦皇岛066004;2.东北大学 信息科学与工程学院, 辽宁 沈阳110819)
  • 收稿日期:2018-12-05 修回日期:2018-12-05 出版日期:2019-12-15 发布日期:2019-12-12
  • 通讯作者: 辛凤鸣
  • 作者简介:辛凤鸣(1984-),男,吉林通化人,东北大学讲师,博士; 汪晋宽(1957-),男,辽宁沈阳人,东北大学教授,博士生导师.
  • 基金资助:
    国家自然科学基金资助项目(61601109); 中央高校基本科研业务费专项资金资助项目(N182304022); 河北省自然科学基金资助项目(F2018501051).

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
  • About author:-
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摘要: 自适应波形优化技术是认知雷达的关键技术之一,通过优化发射波形能够提高雷达系统性能.针对目标检测问题,在杂波环境下,提出一种基于双互信息优化准则的自适应波形优化方法.该方法同时以接收信号与目标冲激响应之间的互信息最大和接收信号与杂波冲激响应之间的互信息最小为优化准则,在发射信号能量有限的约束条件下,建立优化模型,通过最大边缘分配算法求解最优波形.仿真结果表明,相对于固定波形,所提方法优化发射波形能够提高目标检测性能.

关键词: 认知雷达, 波形设计, 互信息, 信息熵, 最大边缘分配算法

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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