一种改进MUSIC算法的FPGA实现

MUSIC1]算法具有很高的分辨力、估计精度及稳定性,但是由于需要对采样协方差矩阵进行特征分解,运算量巨大,难以利用FPGA实时实现。通过对等距线阵特点及MUSIC算法的研究,发现可以利用局部协方差矩阵构造信号子空间,进一步得到噪声子空间进行谱峰搜索,从而大大降低了算法的复杂度,计算机仿真验证了该算法的有效性。利用FPGA对该算法进行了硬件实现,测试的估计精度和实时性良好,对工程应用具有重要的指导意义。

An Improved MUSIC Algorithm Implemented with FPGA

MUSIC algorithm is famous for its statistic efficiency, high resolution and good accuracy, but it needs eigendecomposition of covariance matrix, and the computational complexity limits its real-time application. Under the study of ULA （Uniform Linear Array） and MUSIC algorithm, it is found that the signal sub-space can be estimated by a sub-matrix of array covariance matrix, and the noise sub-space can be obtained for spectral peak search. The computational complexity can be reduced significantly. The computer simulation results prove the algorithm is effective. An FPGA implementation is introduced and the precision and the real-time performance are proved, which is important for engineering development.