一种基于时差和多参数信息的加权联合分选算法

Joint Sorting Algorithm Based on TDOA and Weighting Multi-parameter Information

针对复杂环境信号分选,提出一种基于时差和多参数信息的加权联合分选算法。在主侦察设备序列中确认基准信号,通过基准信号与从侦察设备序列多参数匹配确定包含时差和多参数的基准向量,根据基准向量搜索主侦察设备中满足多参数信息加权的序列,逐一与从侦察设备序列满足基准向量的序列进行匹配,最后对匹配成功的序列进行分析得到雷达参数,实现信号分选。实验表明在信号丢失严重和存在干扰脉冲的情况下能够分选出雷达信号,提高雷达分选成功率,降低漏警率。

Aiming at complex electromagnetic environment,a joint sorting algorithm based on TDOA and weighting multi-parameter information is presented.Firstly,the benchmark signal is determined in the master of reconnaissance equipment to confirm the reference vector including TDOA and multi-parameter by matching the multi-parameter with the slave's.Then,the reference vector is used to search signal sequence in the master of reconnaissance equipment satisfied with weighting multi-parameter.Next,the matching pulse sequence is got after the signal sequence both in the mater and slave of reconnaissance equipment are matched.Finally sorting result is extracted by matching pulse analysis.Experimental results show that the proposed algorithm is applicable and effective to sort signal and reduce alarm dismissal probability,with the serious signal loss and high rate of interference signal.