雷达有源诱饵是现代电子对抗的主要手段之一。本书总结了作者针对海上雷达有源诱饵的干扰理论以及方法的研究成果，主体内容由6章组成。第1章，介绍了海上雷达有源诱饵发展与应用现状，分析了雷达有源诱饵工作原理与局限性；第2章，介绍了海上雷达有源诱饵的动态干扰过程，建立了有效干扰临界条件的理论分析模型；第3章，介绍了影响有源诱饵干扰效果要素，提出了非合作条件下的干扰有效性评估理论与方法；第4章，介绍了基于改进粒子群优化算法的雷达集群干扰阵型优化方法；第5章介绍了基于改进差分进化算法的集群干扰目标分配方法；第6章介绍了深度强化学习方法以及基于深度强化学习的雷达有源诱饵集群自主干扰决策方法。

第1 章 海上雷达有源诱饵概况·························································1
1.1 引言·················································································1
1.2 海上雷达有源诱饵的发展与应用现状·······································1
1.3 海上雷达有源诱饵的工作原理················································7
1.3.1 单脉冲雷达导引头目标位置参数获取·······························7
1.3.2 基于数字射频存储的干扰信号转发技术·························.10
1.3.3 海上雷达有源诱饵的角度欺骗干扰模型·························.12
1.4 海上雷达有源诱饵运用分析与干扰局限性······························.18
1.5 小结··············································································.21
参考文献···············································································.21
第2 章 海上雷达有源诱饵干扰动态分析··········································.24
2.1 引言··············································································.24
2.2 单个海上雷达有源诱饵动态干扰模型····································.24
2.2.1 末制导雷达目标跟踪的动态响应··································.25
2.2.2 海上雷达有源诱饵的动态对抗过程·······························.29
2.2.3 单个海上雷达有源诱饵的有效干扰临界条件···················.32
2.3 多个海上雷达有源诱饵组合欺骗干扰分析······························.33
2.3.1 多个雷达有源诱饵干扰信号叠加模型····························.34
2.3.2 多个海上雷达有源诱饵有效干扰临界条件······················.39
2.3.3 多个海上雷达有源诱饵空间干扰模型····························.44
2.4 海上雷达有源诱饵的动态仿真分析·······································.47
2.4.1 雷达有源诱饵干扰动态仿真系统··································.47
2.4.2 雷达有源诱饵干扰过程仿真分析··································.49

2.5 小结··············································································.66
参考文献···············································································.67
第3 章 基于概率推理的海上雷达有源诱饵干扰有效性评估方法············.68
3.1 引言··············································································.68
3.2 概率推理的基本原理·························································.68
3.2.1 干扰有效性的正向概率推理········································.69
3.2.2 干扰有效性的反向概率推理········································.70
3.3 雷达有源诱饵欺骗干扰有效性评估方法·································.72
3.3.1 雷达有源诱饵干扰的非合作要素分析····························.72
3.3.2 雷达有源诱饵理想态势的有效干扰概率·························.74
3.3.3 雷达有源诱饵空间组合的有效干扰概率·························.77
3.4 干扰有效性评估数值仿真分析·············································.78
3.4.1 参数未知条件下的动态仿真········································.78
3.4.2 基于GeNIe 软件的有效干扰临界条件正反向推理············.80
3.4.3 多雷达有源诱饵干扰有效性评估分析····························.84
3.4.4 雷达有源诱饵机动干扰评估分析··································.85
3.5 小结··············································································.88
参考文献···············································································.89
第4 章 基于改进粒子群优化算法的集群干扰阵型优化方法··················.90
4.1 引言··············································································.90
4.2 雷达有源诱饵集群干扰阵型优化问题····································.90
4.2.1 集群干扰阵型优化问题描述········································.90
4.2.2 集群干扰阵型优化数学模型········································.94
4.3 基于多策略改进的粒子群优化算法·······································.96
4.3.1 标准粒子群优化算法·················································.96
4.3.2 算法改进策略··························································.97
4.3.3 集群干扰阵型寻优实现··············································100
4.4 集群干扰阵型优化仿真及结果分析·······································103
4.4.1 单个雷达有源诱饵干扰阵型优化··································103
4.4.2 多个雷达有源诱饵集群干扰阵型优化····························107
4.5 小结·············································································.116
参考文献··············································································.116
第5 章 基于改进差分进化算法的集群干扰目标分配方法·····················117
5.1 引言·············································································.117
5.2 雷达有源诱饵集群干扰目标分配问题···································.117
5.2.1 集群干扰目标分配问题描述·······································.117
5.2.2 集群干扰目标分配数学模型·······································.119
5.3 基于任务组合的改进差分进化算法·······································121
5.3.1 雷达有源诱饵干扰任务组合策略··································122
5.3.2 改进差分进化算法····················································124
5.3.3 集群干扰目标分配仿真及结果分析·······························128
5.4 融合阵型优化与目标分配的集群梯次动态对抗策略··················135
5.4.1 诱饵集群多波次干扰需求分析·····································135
5.4.2 诱饵集群多波次对抗决策流程设计·······························136
5.4.3 诱饵集群多波次对抗仿真案例分析·······························138
5.5 小结··············································································142
参考文献···············································································142
第6 章 基于深度强化学习的雷达有源诱饵自主干扰方法···················.144
6.1 引言··············································································144
6.2 雷达有源诱饵自主干扰问题描述与建模·································145
6.2.1 雷达有源诱饵自主干扰问题描述··································145
6.2.2 雷达有源诱饵自主干扰强化学习方法····························147
6.2.3 雷达有源诱饵自主干扰MDP 模型设计··························150
6.3 基于PPO 算法的自主对抗训练方法研究································154
6.3.1 雷达有源诱饵自主干扰决策神经网络····························154
6.3.2 完全去中心化异步递进训练结构设计····························155
6.3.3 基于截断形式近端策略优化算法实现····························158
6.4 雷达有源诱饵自主干扰仿真与试验分析·································159
6.4.1 仿真训练环境构建与参数设置·····································160
6.4.2 雷达有源诱饵独立场景训练分析··································161
6.4.3 雷达有源诱饵递进结构训练分析··································168
6.5 本章小结········································································171
参考文献···············································································171