摘要: Aiming at the complicate electromagnetic environment that satellite navigation systems faced with, a multi-stage Wiener filter is designed for DOA estimation, utilizing the characteristics of the Krylov sub-space is equal to the s... 展开 Aiming at the complicate electromagnetic environment that satellite navigation systems faced with, a multi-stage Wiener filter is designed for DOA estimation, utilizing the characteristics of the Krylov sub-space is equal to the signal sub-space and formed by the cross-correlation vector of the observed signal and expected signal. The filter algorithm can be applied under the circumstance of signals supported by small samples, while fast convergence is realized. Therefore, the proposed filter algorithm has higher probabilities of correctly estimation and better performance in DOA estimation precision. Simulations in the environment with additive white noise indicate that the algorithm has good estimation performance and robustness when the source signal noise ratio is low and the samples of sources are inadequate. Compared with the algorithms of MUSIC, the proposed filter algorithm does not require the process of matrix inversion, resulting in reduced calculation. 收起