单脉冲雷达导引头联合检测与DOA估计算法  

Joint Detection and DOA Estimation Algorithm for Monopulse Radar Seeker

作　　者：董文豪 黄倩兰 范红旗[1] 付强[1] 宋志勇 Dong Wenhao;Huang Qianlan;Fan Hongqi;Fu Qiang;Song Zhiyong(ATR Key Laboratory,College of Electronic Science,National University of Defense Technology,Changsha 410073,China)

机构地区：[1]国防科技大学电子科学学院ATR重点实验室,长沙410073

出　　处：《航空兵器》2022年第1期98-106,共9页Aero Weaponry

基　　金：国家自然科学基金项目(61401475)。

摘　　要：在雷达导引头末制导阶段,低信噪比(Signal to Noise Ratio,SNR)导致对目标的检测和定位性能恶化。为此,本文提出一种基于随机有限集的联合检测与DOA(Direction of Arrival)估计算法。该算法在单目标伯努利滤波器框架下,基于点目标扩展函数对经过低门限判决后的数据构建目标观测方程,在天线和视线混合坐标系下建立状态变量描述,求解状态向量微分方程并对其离散化得到离散时间差分方程,经过状态误差分析得到状态转移模型,再经过粒子递归实现联合检测与状态估计。通过仿真实验,验证了该算法的有效性。与传统跟踪前检测方法对比,该算法能在低信噪比下提高检测性能和DOA估计精度。In the terminal guidance phase of radar seeker,low signal to noise ratio(SNR)leads to the deterioration of target detection and positioning performance.Therefore,a joint detection and DOA(Direction of Arrival)estimation algorithm based on random finite set is proposed.In the framework of single target Bernoulli filter,the algorithm constructs the target observation equation for the data after low threshold decision based on the point target spread function,establishes the state variable description in the antenna and line of sight hybrid coordinate system,solves the state vector differential equation and discretizes it to obtain the discrete-time difference equation.The state transition model is obtained through state error analysis,then the particle recursion is used to realize joint detection and state estimation.Simulation results show that the algorithm is effective.Compared with the traditional DBT(Detect before Track)method,the algorithm can improve the detection performance and DOA estimation accuracy at low SNR.

关 键 词：单脉冲雷达 信噪比 DOA估计 粒子实现 检测性能 雷达导引头 反隐身 

分 类 号：TJ765[兵器科学与技术—武器系统与运用工程] TN958.4[电子电信—信号与信息处理]