一种基于MUSIC算法的天地波识别方法

A method based on MUSIC algorithm for distinguishing between sky-wave and ground-wave

基于我国BPL长波脉冲信号的特征,利用MUSIC(多信号分类)算法对BPL天、地波延迟进行估计,实现天、地波识别。对传统谱估计IFFT(快速傅里叶逆变换)算法和现代谱估计MUSIC算法进行了仿真和比较,结果表明,这两种方法在较低信噪比条件下可有效分离天、地波,且识别误差都能控制在±5μs内,但MUSIC算法比IFFT算法具有更高的精度和分辨率。

In view of the characteristic of BPL long-wave impulse signals,the MUSIC（multiple signal classification） algorithm is used to estimate the time delays of sky-wave and ground-wave and distinguish between them.The simulations are made with the IFFT algorithm,a traditional spectral estimation technique,and the MUSIC algorithm,a modern spectral estimation technique,respectively.The comparisons show that both IFFT algorithm and MUSIC algorithm can be used for distinguishing the sky-wave and ground-wave from each other in low SNR and the distinguishing errors are all within±5 μs but the precision and distinguishability for MUSIC algorithm are better than those for IFFT algorithm.