高信号密度雷达脉冲分选算法

A Sorting Algorithm for Radar Signals in High-signal-density Environment

利用脉冲重复间隔(PRI)是高信号密度环境下一种主要的脉冲分选去交错方法。文中分析了受到雷达扫描特性影响时,脉冲到达时间(TOA)测量误差对PRI估计及对脉冲分选去交错的影响,提出了一种对脉冲幅度变化不敏感的TOA测量算法和能够克服PRI误差累积的去交错算法。仿真结果表明,该算法适用于高信号密度环境,性能良好。算法已在DSP平台上实现,具有很好的实时性。

Radar pulses are interleaved in high - signal - density environment. Principal sorting algorithms are likely based on pulse repetition interval （PRI）. In this paper, considering radar scanning characteristic, the influence of time of arrival （TOA） measurement error on PRI estimation and deinterleaving are discussed. Accordingly, an improved algorithm for measuring TOA, immunized from pulse amplitude＇s affection, is proposed. A deinterleaving algorithm, which may overcome the accumulation of PRI error, is also contrived. Simulation results indicate that the proposed sorting algorithm is quite effective in high - signal - density environment. The algorithm has been realized on a DSP platform, showing reasonable real - time capacity .