机载雷达动目标认知探测稳健波形优化设计方法研究

The imperfect target and environment prior knowledge will lead to the broadcast matrix with error, and it is difficult for airbone radar transmitting waveform design method- which is sensitive to broadcast matrix error- to get the optimal matching waveform, thus the detection performance degrades dramatically. Cognitive radar can make full use of the prior knowledge of target and environment to adjust beam and improve the detection performance. The project studies issues about cognitive radar waveform optimization with imperfect target and environment prior knowledge, cognitive radar waveform optimization with the constraint that the worst case happens at low probabilistic, and waveform optimization to improve cognitive radar’s overall performance of target detection, parameter estimation, and sidelobe suppression. The main contents include (1) to use the optimality theory, based on the imperfect target and environment prior knowledge, study the robust waveform design method to improve cognitive radar’s detection and parameter estimation performance under worst case; (2) to use statistic theory, combined with optimization method, study cognitive radar waveform optimization under the probabilistic constraint that the best performance will happen at high probabilistic; (3) to use the optimality theory, with cognitive radar’s performance of detection, parameter and sidelobe suppression considered, study the waveform optimization method to improve cognitive radar’s overall performance. This project belongs to the basic theory and applications, the achieved results have wide prospect of military application and civil application.

非完备目标和环境先验知识导致传播矩阵存在误差，对传播矩阵误差敏感的机载雷达发射波形设计方法难以得到最优的匹配波形，从而造成系统检测性能严重下降。而认知雷达可充分利用目标与环境的先验知识改变波束以提高检测性能，本项目研究非完备目标和环境先验知识条件下认知雷达波形优化、最差情况以一定概率发生约束下认知雷达波形优化、提高认知雷达检测、参数估计及旁瓣抑制性能的波形优化问题。主要研究内容为（1）利用最优化理论，基于非完备目标和环境先验知识，优化发射波形，研究提高最差情况下认知雷达检测和参数估计性能的稳健波形设计方法；（2）利用概率论理论，结合最优化方法，研究概率约束下以高概率实现认知雷达系统最优化的波形设计；（3）利用最优化理论，综合考虑认知雷达检测性能、参数估计性能及旁瓣抑制性能，研究基于以上三种因素提高认知雷达整体性能的波形优化方法。本项目属于应用基础研究，研究成果有广泛的军事、民事应用前景。

非完备目标和环境先验知识导致传播矩阵存在误差，对传播矩阵误差敏感的机载雷达发射波形设计方法难以得到最优的匹配波形，从而造成系统检测性能严重下降。而认知雷达可充分利用目标与环境的先验知识改变波束以提高检测性能，本项目研究了非完备目标和环境先验知识条件下认知雷达波形优化、最差情况以一定概率发生约束下认知雷达波形优化、提高认知雷达检测、参数估计及旁瓣抑制性能的波形优化问题。课题组初步取得以下研究成果（1）利用最优化理论，基于非完备目标和环境先验知识，优化发射波形，本项目提出了提高最差情况下认知雷达检测和参数估计性能的稳健波形设计方法，实验结果表明本方法在目标环境先验知识不完备时仍能达到较好效果；（2）利用概率论理论，结合最优化方法，本项目提出概率约束下以高概率实现认知雷达系统最优化的波形设计方法，实验结果表明该方法有效可行；（3）利用最优化理论，综合考虑认知雷达检测性能、参数估计性能及旁瓣抑制性能，本项目提出了基于以上三种因素提高认知雷达整体性能的波形优化方法，实验结果验证了该方法的有效性。本项目属于应用基础研究，研究成果有广泛的军事、民事应用前景。