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The Design of Multi-stage nested wiener filter employing Kry...

The Design of Multi-stage nested wiener filter employing Krylov subspace for GNSS Interference direction detection

作     者:Fan Guangwei1,2 ,YU Baoguo1,2 ,Deng Zhixin1,2, LuoYi1,2 1. The 54th Research Institute of CETC, Shijiazhuang,China 2. Satellite Navigation Technology and Equipment Engineering Technology Research Center of Hebei province,Shijiazhuang, China 

会议名称:《第三届中国卫星导航学术年会》

会议日期:2012年

学科分类:08[工学] 080401[工学-精密仪器及机械] 081105[工学-导航、制导与控制] 0804[工学-仪器科学与技术] 0825[工学-航空宇航科学与技术] 0811[工学-控制科学与工程] 

关 键 词:Global Navigation Satellite System multistage Wiener filter Krylov sub-space Direction of Arrival (DOA) 

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 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.

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