认知雷达中基于Q学习的自适应波形选择算法

被引:6
作者
王彬 [1 ,2 ]
汪晋宽 [2 ]
宋昕 [2 ]
韩英华 [2 ]
机构
[1] 东北大学信息科学与工程学院
[2] 东北大学秦皇岛分校工程优化与智能天线研究所
关键词
波形选择; Q学习; 空间划分; 认知雷达;
D O I
暂无
中图分类号
TN957.3 [雷达发射设备];
学科分类号
080904 ; 0810 ; 081001 ; 081002 ; 081105 ; 0825 ;
摘要
自适应波形选择器是认知雷达中智能发射器的重要组成部分。有效的波形选择能够在不同的环境下选择发射最优的波形序列,从而以更高的精度追踪目标。针对雷达目标转移概率未知这一特点,把自适应波形选择问题建模为随机动态规划模型,提出应用Q学习的方法来解决这个问题。仿真结果说明,该算法接近于最优波形选择方案,并且状态估计的不确定性低于固定波形。
引用
收藏
页码:1007 / 1012
页数:6
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