针对目前光子多普勒测速(PDV)信号处理方法抗噪性能不足的现状，提出了一种对激光多普勒信号的短时傅里叶变换(STFT)频谱图进行轨迹搜索找出有效目标信号的方法，该方法利用对搜索方向进行加权的MeanShift迭代过程来得到密度函数极大值点，然后将该点作为有效信号的轨迹点。实验表明，在给出合适的初始迭代点的情况下，该算法能准确地从含有大量噪声及干扰的短时傅里叶变换频谱图中提取出有效信号，对于强噪声条件下这种PDV信号提取算法具有较强的稳健性。

For the situation where the current signal extraction algorithms for the photon Doppler velocimetry (PDV) data are weak in the performance of anti-noise, a method based on trajectory search with the short time Fourier transformation (STFT) spectrum of the PDV data is proposed to extract the valid target signal. The Algorithm uses the iterative MeanShift progress weighting the search direction to get the maximum value points of the density function and these points can be regarded as the trajectory points of valid signal. Experimental results show that, when the proper initial point is given, the algorithm can accurately extract the valid signal from the short-time Fourier transform spectrum which contains a large amount of noise and interference signal, this signal extraction algorithm for PDV has strong robustness in strong noise condition.