基于LMS自适应滤波和希尔伯特差值的二次相关时延估计算法

摘要

Aimming at the problem of time delay estimation in satellite interference location system, based on the research of generalized cross⁃correlation and the quadratic⁃correlation time delay estimation algorithm, proposing the quadratic⁃correlation time delay estimation algorithm based on the Hilbert interpolation and the LMS adaptive filtering method, to avoid the serious effects on the generalized cross⁃correlation delay estimation accuracy, caused by the selecting of different weigh⁃ting coefficients. The algorithm uses the adaptive filter is less need for a priori knowledge of the signal and noise, with the a⁃bility to automatically adjust its own parameters. First, the signal is processed with the front⁃end filtering, and then the pro⁃cessed signals are deal with the quadratic⁃correlation time delay estimation algorithm. Finally, using the Hilbert interpolation to sharpen the correlation peak,to obtain accurate time delay estimation.%针对卫星干扰源定位系统中时延估计的问题，在研究经典的广义互相关和二次相关时延估计算法的基础上，为避免不同加权系数的选取对广义互相关时延估计精度影响差异很大这一缺点，提出了一种基于LMS自适应滤波和希尔伯特差值的二次相关时延估计算法，该算法利用自适应滤波器对信号和噪声的先验知识需求较少、具有自动调节自身参数的能力，首先对信号进行前端滤波处理，再将处理后的信号进行二次相关，最后利用希尔伯特差值法对相关峰值进行锐化，以获得较为精确的时延估计结果。