基于多级维纳滤波器降维技术的波达方向估计

Direction of arrival estimation based on the MSWF

针对基于子空间分解的参数估计算法所存在的运算量大、信噪比门限高等缺点,提出了采用多级维纳滤波器进行波达方向估计的方法.该方法将波达方向估计和多级维纳滤波器相结合,即降维的波达方向估计,克服了基于子空间分解算法的缺点.计算机仿真说明了这种降维的波达方向估计方法是有效的,可以应用在快拍数很少和信干噪比很低的情况.

Utilizing the reduced-rank technique of the Multi-Stage Wiener Filter (MSWF), a novel method for Direction Of Arrival (DOA) estimation is proposed, resulting in a new way for parameter estimation. Analysis and simulations show that this method can be applied in the case where only a few samples are available and the Signal to Interference plus Noise Ratio (SINR) is very low. On the other hand, the new method requires much lower computational cost than the subspace-based methods. Simulations are given to validate the method.