基于PFRFT周期积累的多相编码信号检测与参数估计

由于多相编码信号存在明显的周期时频分布规律性,在研究该类信号在低信噪比下的检测及参数估计问题时,对分数阶傅里叶变换进行周期延拓,首先结合该类信号的PWVD时频特性,通过分析多相编码信号的PWVD脊线分布特点与多分量LFM信号的关联特性,利用PFRFT对信号平行脊线能量进行积累,再根据积累后的峰值搜索对信号进行参数估计,最后采用与同样参数LFM信号进行RWT后的峰值固定比例结论对检测概率与参数估计精度进行分析。实验证明,该方法不仅成功提高了低信噪比下的多相码信号检测概率,而且五大参数的估计精度也得到了提高。

Period Polyphase Coded Signal Detection and Parameter Estimation Based on PFRFT

Since polyphase coded signals exist obvious time-frequency distribution regularity, the signals at low signal-to-noise ratio in the detection and parameter estimation problem, to cycle continuation of fractional Fourier transform, first of all, PWVD time-frequency characteristic of the signal, through the analysis of the PWVD ridge line of polyphase coded signal distribution and correlation characteristic of multi-component LFM signal, using PFRFT parallel ridges of signal energy accumulation, and then based on the peak of accumulation after search for signal parameter estimation, finally USES the LFM signal with the same parameters RWT after peak fixed conclusion on the detection probability and the parameter estimation accuracy are analyzed. The experiment proved that this method not only improves the success of polyphase code under low SNR signal detection probability, and the five parameters estimation precision is improved.