一种基于等差鉴别的改进的SDIF分选算法

An improved method of SDIF algorithm based on equal difference identification

对于子周期呈等差数列变化的参差雷达,利用传统的序列差值直方图(Sequential Difference histogram,SDIF)分选算法进行信号分选时,将分选出多部固定脉冲重复间隔(Pulse Repetition Interval,PRI)的雷达,即目标增批.导致严重影响电子战中己方信号分选结果的准确性.为解决传统的SDIF分选算法在此场景下出现的问题,提出了一种基于PRI等差鉴别的改进的SDIF分选算法.该算法通过改进传统的SDIF分选流程,在每一次一阶到达时间差值(Time Difference of Arrival,DTOA)统计后加入等差鉴别,从而预先排除存在固定PRI雷达的可能性,防止目标增批现象的出现.仿真结果表明,本文提出的基于等差鉴别的改进的SDIF分选算法不仅不影响传统SDIF分选算法原本适用场景,而且能够在满足参差设计的场景下正确分选出子周期等差的参差雷达.

For a staggered radar whose sub-periods change in equidistant series,when sortingthe signals by the traditional Sequential Difference histogram(SDIF)sorting algorithm,multiple radars with fixed Pulse Repetition Intervals(PRI)will be sorted out,which is called target increasing batch.It will seriously affects the accuracy of signal sorting results in electronic warfare.In order to solve the problem that occurs in the traditional SDIF sorting algorithm in this scenario,this paper proposed an improved SDIF sorting algorithm based on PRI equivalence discrimination.The algorithm improved the traditional SDIF sorting process,and added equivalence discrimination after each first-order time difference of arrival(DTOA)statistics,thereby precluding the possibility of existence of fixed PRI radar and preventing target increasing batch.Simulation results showed that the improved SDIF sorting algorithm based on equivalence discrimination proposed in this paper not only has no affection on the original applicable cases of traditional SDIF sorting algorithm,but also can correctly sort out the staggered radar with equivariant sub-periods in case of staggered radar.