相参脉冲序列频率估计的小波变换方法

在单站无源定位与跟踪系统中，接收信号的多普勒频率变化率信息对运动目标的状态估计和定位非常重要。对于脉冲体制的雷达来说，信号持续时间较短，很难精确测量多普勒频率变化率。小波变换在时频域同时具有良好的局域特性和较低的信噪比门限。文章引入了小波变换方法实现单站无源定位与跟踪系统的参数估计，推导了相参脉冲序列的小波变换方法。数值仿真证明该方法能实现脉冲的相参积累，大幅提高参数的估计精度。

Frequency Estimation of Coherent Pulse Train Based on Wavelet Transform

In the passive locating and tracking system of single observer, the Doppler Frequency Rate-of-Change of received signal is very important for the state estimation and location of a moving target. The Doppler Frequency Rate-of-Change is very difficult to estimate because the signal duration is very short in the pulse system radar. Wavelet transform has the joint time-frequency localization characteristic and low SNR threshold. In this paper, wavelet transform is used to estimate parameters in the passive locating and tracking system pulse train based on wavelet transform is deduced of single observer, and the method of coherent The computer simulation results prove that this method can realize the coherent integration of pulse signal. And the precision of parameters estimation is improved greatly.