适于目标检测的宽带回波信号去高频方法

A Deleting High-frequency Component Method Suitable for Target Detection in Wide-band Echo Signal Processing

运用变换的方法进行雷达回波信号压缩前,为了减少变换系数的数据量通常要对信号进行去高频处理。针对宽带雷达回波信号小波变换系数数据量大、传统小波算法去高频容易产生漏警和虚警的特点,分析了经验模式分解(EMD)中各内模函数的特性,提出了一种基于EMD算法的宽带数字信号去高频方法,并将其应用于雷达回波宽带数字信号去高频处理,运用脉冲压缩技术比较了该方法和传统小波方法去高频效果。实验表明,该方法不仅有利于宽带数字信号的数据压缩,而且在减少信号高频成分的同时,能较好地保留信号中的目标信息。

Before radar echo signals being compressed by transformation methods,it is necessary to delete some high-frequency components in the signals,so as to make the amount of the coefficients lower.The amount of the coefficients produced from wide-band radar echo signal by wavelet transform is abundant.Some traditional wavelet algorithms for deleting high-frequency component（DHFC） are prone to miss real alarms or produce false alarms.Therefore,in this paper,the traits of the inner mode functions in EMD being analyzed,a wide-band digital signal DHFC method based on EMD algorithm is presented and applied to delete HFCs of wide-band radar echo signal.Moreover,the effects on signals in deleting high-frequency component by this algorithm and by the traditional wavelet algorithms are compared by pulse compression technique.The experimental results show that this method is not only good for the data compression of wide-band digital signal,but also preserves the information about the targets as depressing the signal frequency.