脉冲重复间隔估计与去交织的方正弦波插值算法

在高密度复杂信号环境中，根据脉冲到达时间提取脉冲重复间隔并去交织是一个常用方法。但由于存在严重的倍周期干扰和脉冲重叠现象，传统的脉冲重复间隔估计算法在高密度复杂信号环境中性能急剧下降。为了克服上述缺点，该文提出了一种的新算法方正弦波插值算法(SSWIA)。其核心是把不等间隔的到达时间序列变换成连续信号；然后利用快速傅里叶算法提取重复周期并用滤波技术和过零检测形成检测波门提取周期序列。该算法能够适应固定重频、参差重频、抖动重频和滑变重频交织的高密度复杂信号环境。仿真结果表明：该算法提取重复频率精度高，速度快并且抗丢失和虚警脉冲的能力强；其综合性能优于现有其它方法，具有很好的工程应用价值。

Estimation of Pulse Repetition Interval and Deinterleaving Based on the Square Sine Wave Interpolating Algorithm

In the dense complex signal radar environment,the estimation of the parameters Pulse Repetition Interval(PRI)and deinterleaving is a tedious problem.This paper presents a new method,named Square Sine Wave Interpolating Algorithm(SSWIA)for deinterleaving based on a Time-Of-Arrival(TOA)analysis,which works well in the dense complex signal radar environment.The core of this method is that it turns the unequal interval TOA sequence into a continuous signal.Then the periodic TOA sequence in the mixed TOA sequence will be extract by using FFT,filtering and zero-cross detection technology.This algorithm is very successful in high-pulse-density radar environments and for complex signal types.The simulation results show that it has better precision of the estimation of parameter PRI,more quick speed of deinterleaving the mixed TOA sequence,less sensitive to interfering pulse,more robust to missed pulses than the conventional published techniques.