一种基于旋转不变子空间算法的非模糊参数配对方法

A Non-fuzzy Parameter Pairing Method Based on Estimating Signal Parameter via Rotational Invariance Techniques

针对多维旋转不变子空间算法(ESPRIT)信号参数估计存在失配的问题,该文提出一种基于特征值分维的参数配对方法。该方法首先对包含待估计参数信息的多维特征值进行线性组合并构造判断矩阵,再根据矩阵维数对应关系进行配对。相比于其他配对算法,该文提出的算法结构简单,没有模糊参数,在特定情况下具有较高的鲁棒性,能实现参数的自动配对。最后通过对比仿真验证了该文配对算法的优越性。

There are some mismatches for the estimation of signal parameters in mult-dimention Estimating Signal Parameter via Rotational Invariance Techniques(ESPRIT)algorithm.In this paper,a parameter pairing method based on eigenvalue fractal dimension is proposed.By linearly combining the eigenvalues and constructing a judgment matrix,the parameters are paired according to the corresponding relationship of matrix dimension.In contrast to other pairing algorithms,the proposed algorithm can achieve automatic pairing with low complexity,non-fuzzy parameters and higher robustness.Several examples are given to demonstrate the effectiveness of the proposed algorithm.