一种基于脉冲样本序列的PRI周期信号分选算法

A Novel De-interleaving Algorithm for PRI Periodic Signal Based on Pulse Sample Sequences

针对传统脉冲重复间隔(PRI)分选算法在估计PRI方面存在的不足,提出了一种对PRI周期信号的周期进行准确估计的方法。该方法首先从待分选脉冲序列中提取出属于一部雷达的脉冲样本,然后基于这些样本对该雷达脉冲序列的周期进行精确估计,并用估计到的周期值进行脉冲序列抽取从而实现准确分选。相对于传统PRI分选算法,该算法能够在保证周期估计精度的前提下大幅度减少分选过程所需要的时间,从而能够更好地满足信号分选的需求。仿真结果证明了所提算法的有效性。

For the defects in estimating pulse repetition interval（PRI） of traditional pulse repetition interval de-interleaving algorithms,this paper puts forward a new method of estimating the period of PRI periodic signals. The method firstly extracts the pulse sample sequence of a certain radar from the raw pulse se-quence,then executes precise period estimation process based on the sample sequence,finally,proceeds the accurate de-interleaving process using the period value previously estimated. Compared with the traditional de- interleaving methods, this algorithm considerably shortens the time needed in the de - interleaving process and guarantees the precision of the period estimation at the same time,which satisfies the require-ment of the de-interleaving process. Simulation results verify the validity of the proposed method.