摘要
在拖曳式诱饵干扰场景下,目标和诱饵同处于雷达的半功率波束之内,导致传统单脉冲体制雷达有效对其进行分离。针对这一问题,从单脉冲体制雷达匹配滤波采样模型入手,建立了同波束内目标和诱饵的联合概率模型。在该模型下,提出了一种改进马尔科夫链蒙特卡洛(MCMC)方法,完成目标和诱饵的参数估计。该方法将传统随机游走和独立抽样方法相结合,具有估计准确的优点。仿真结果表明,方法可有效分离同波束内目标和诱饵。
In the towed radar decoy jamming scenario,both of the target and decoy are located at the same half-power beam of radar. Under such a circumstance,the target and decoy can hardly be separated by the traditional monopulse radar is started. To solve such a problem,the matched filtering sampling model of the monoulse radar. Then,the joint probability model has been constructed. With such a model,an improved Markov Chain Monte Carlo (MCMC)method to estimate parameters of the target and decoy is proposed. By combining the random walk method with the independence sampling method,the proposed method has high estimating accuracy. It can be proved that the proposed method can efficiently separate the target and decoy of the same radar beam.
作者
胡颖
HU Ying(Shanxi Polytechnic College,Taiyuan 030006,China)
出处
《火力与指挥控制》
CSCD
北大核心
2019年第1期61-66,共6页
Fire Control & Command Control
