基于遍历噪声修正的测速优化算法

An Optimized Algorithm of Velocity Measurement Based on Ergodic Noise Correction

摘要:

研究了一种基于复相关测频原理的多普勒测速算法，针对该算法受信噪比影响较大的情况提出了一种基于遍历噪声修正的测速优化算法。仿真结果表明：该优化算法能减弱噪声对测速精度的影响，尤其在低信噪比的情况下，能有效提高多普勒测速精度。

Abstract:

This paper provides an algorithm of Doppler velocity measurement based on complex correlation frequency measuring principle. Aiming at the situation that the algorithm is greatly affected by SNR，an optimized algorithm of velocity measurement based on ergodic noise correction is presented. Simulation results show that this algorithm can attenuate effect of noise on the accuracy of velocity measurement, and especially in the case of low SNR，the accuracy of Doppler velocity can be improved effectively.