航空学报 > 2014, Vol. 35 Issue (8): 2234-2242   doi: 10.7527/S1000-6893.2014.0066

非高斯环境下的GPS自适应多径抑制技术

丁继成, 黄卫权, 王野   

  1. 哈尔滨工程大学 自动化学院, 黑龙江 哈尔滨 150001
  • 收稿日期:2013-09-29 修回日期:2014-04-21 出版日期:2014-08-25 发布日期:2014-05-05
  • 通讯作者: 丁继成,Tel.:0451-82518426,E-mail:aaron.heu@163.com E-mail:aaron.heu@163.com
  • 作者简介:丁继成男,博士,讲师。主要研究方向:卫星导航、组合导航技术。Tel:0451-82518426,E-mail:aaron.heu@163.com;黄卫权男,博士,教授,博士生导师。主要研究方向:惯性导航、卫星导航、组合导航技术。Tel:0451-82518426,E-mail:huangweiquan@hrbeu.edu.cn;王野男,博士研究生。主要研究方向:卫星导航。Tel:0451-82518426,E-mail:wangyeheu@hotmail.com
  • 基金资助:

    国家自然科学基金(61304234,61273081);中央高校基本科研业务费专项资金(HEUCFX041403,HEUCFR1114)

GPS Adaptive Multipath Mitigation Technique in Non-Gaussian Environment

DING Jicheng, HUANG Weiquan, WANG Ye   

  1. College of Automation, Harbin Engineering University, Harbin 150001, China
  • Received:2013-09-29 Revised:2014-04-21 Online:2014-08-25 Published:2014-05-05
  • Supported by:

    National Natural Science Foundation of China (61304234, 61273081); Fundamental Research Funds for the Central Universities (HEUCFX041403, HEUCFR1114)

摘要:

为解决非高斯环境下的全球定位系统(GPS)信号多径抑制,尤其是短延迟多径抑制问题,推导出一种具有权值修正更新能力的改进最小平均p范数(LMP)算法。该算法通过对权值变化趋势项的预测可有效减小算法的收敛时间,通过对其参数变化影响的理论分析和仿真,证实在所设实验条件下算法的收敛时间最大可减少50%。为在自适应多径参数估计时应对非高斯噪声环境的影响,同时获得更大的处理增益,设计了改进的自适应多径估计方案,将算法应用于方案的权值更新,并对更新后的权值引入均值滤波,仿真证明所提多径抑制方案在非高斯和高斯环境下均能表现出很好的稳定性和有效性。

关键词: 卫星导航, 多径传播, 非高斯环境, 最小平均p范数, 均值滤波

Abstract:

In order to mitigate global positioning system (GPS) signal multipath in non-Gaussian environment, especially for short multipath, the paper derives a modified least mean p-norm (LMP) algorithm. It can effectively reduce the convergence time through predicting the update trend of weights. By theoretically analyzing and simulating the parameters changing effect of the modified algorithm, its convergence speed advantage is verified. The convergence time can be shortened by 50%. In the non-Gaussian environment, in order to achieve multipath parameter estimation and obtain greater processing gain, an improved multipath mitigation scheme is designed. The improved algorithm mentioned previously is applied to the adaptive weight update, and a mean filtering algorithm for updated weights. Simulation verifies that the proposed multipath mitigation method has shown good stability and effectiveness in the non-Gaussian and Gaussian environments.

Key words: satellite navigation, multipath propagation, non-Gaussian environments, least mean p-norm, mean filtering

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