基于分段处理的线性频率调制信号检测方法

LFM Signal Detection Method Based Segmentation Processing

针对现有匹配技术和互相关技术对长时间序列线性频率调制(LFM)信号调频率参数估计时间长的问题,提出了基于分段处理的LFM信号检测方法。该方法首先对信号进行分段FFT处理,然后在段间利用同一位置处相位近似不变的原则进行解线调处理,最后根据峰值位置完成信号的调频率参数估计。仿真结果表明,该方法在检测性能不变的前提下,可快速完成信号的参数估计,运算量小于传统方法,适用于对大数据量的LFM信号进行处理。

It takes too much time to estimate the long time series LFM signal frequency modulation rate paramete by the present matching technology and cross correlation technique.Aiming at this problem,a method of LFM signal detection based on segmentation in the paper.In this method,preliminary detection is performed on a long sequence of LFM signals by using segmented fast Fourier transform（FFT）algorithm was proposed.Then,the signal was dechirped based on the principle of phase constant approximately between segments.Finally,according to the peak location,the frequency modulation rate parameter was estimated.The simulation results showed that the method could complete the signal parameter estimation quickly,and the computation amount was less,and it was suitable for processing the large amount of LFM signal.