基于空域信号分离的多径干扰抑制算法

发布时间：2018-03-12 20:39

本文选题：全球导航卫星系统　切入点：多径干扰　出处：《交通运输工程学报》2017年02期 　论文类型：期刊论文

【摘要】：针对全球导航卫星系统中的多径干扰抑制问题,提出了一种有效的低复杂度多径干扰抑制算法,在直达信号和多径干扰来向角(DOA)未知的情况下,利用RELAX算法,通过反复迭代的思想逐一估计出直达信号和多径干扰的DOA和幅度,进而识别多径干扰,利用线性约束最小方差无畸变波束形成技术,在直达信号方向形成增益与在多径干扰方向形成零陷而抑制多径干扰,并进行了仿真试验。分析结果表明:当多径干扰部分相干时,RELAX算法估计的DOA均方根误差比MUSIC算法低了约12dB;当多径干扰完全相干时,RELAX算法估计的DOA均方根误差比MUSIC算法低了约25dB;所提算法能够准确估计出直达信号和多径干扰的DOA,保证通过波束形成零陷空域多径干扰,使得进入跟踪环路的信号非常洁净,处理后的码相位跟踪误差接近于0。
[Abstract]:Aiming at the problem of multipath interference suppression in global navigation satellite systems, an effective low complexity multipath interference suppression algorithm is proposed. In the case of unknown direct signal and multipath interference, the RELAX algorithm is used to suppress multipath interference. The DOA and amplitude of direct signal and multipath interference are estimated one by one by the idea of repeated iteration, and then the multipath interference is identified, and the technique of linear constrained minimum variance distortionless beamforming is used. Forming gain in the direction of direct signal and zero trapping in the direction of multipath interference to suppress multipath interference, The simulation results show that the estimated root mean square error of DOA is about 12 dB lower than that of the MUSIC algorithm when the multipath interference is partially coherent, and the DOA root mean square error of the algorithm is lower than that of MUSIC when the multipath interference is completely coherent. The algorithm is about 25 dB low, and the proposed algorithm can accurately estimate the direct signal and the load of the multipath interference, which can guarantee the multipath interference in the null trapping space by beamforming, and the proposed algorithm can accurately estimate the load of the direct signal and the multipath interference. The signal entering the tracking loop is very clean, and the code phase tracking error after processing is close to 0.
【作者单位】：中国民航大学天津市智能信号与图像处理重点实验室;
【基金】：国家自然科学基金项目(61471363)
【分类号】：TN967.1

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