基于小波变换的酉ESPRIT波束赋形技术研究

摘要

Based on the analysis Unitary-ESPRIT algorithm, the idea of denoising by Wavelet Transform is in-troduced and the Subspace Beamforming algorithm based on Wavelet Transform is put forward.The algorithm is a combination of Wavelet Transform denoising and Unitary-ESPRIT algorithm, using wavelet transform denoising prin-ciple to solve the problem that Unitary-ESPRIT algorithm cannot form a beamforming correctly because of wrong esti-mation of the wave direction under the condition of low Signal-to-Noise Ratio ( SNR) and limited number of array ele-ments.Simulation results show that the algorithm can correctly distinguish the wave direction and form the correct beam under low SNR and limited number of array elements compared with the traditional ESPRIT algorithm and the Unitary-ESPRIT algorithm.%为了解决酉旋转不变子空间波束赋形算法在低信噪比环境下性能急剧下降的问题，提出了基于小波变换的酉ESPRIT算法。该算法在分析运算特点后有效调整运算顺序以控制计算量，利用小波变换去噪原理，能在低信噪比及阵元数有限的条件下正确估计来波方向。仿真结果表明，与传统ESPRIT算法及酉ESPRIT算法相比，该算法在低信噪比且不增加阵元数的情况下能更加准确地分辨来波方向。