北京航空航天大学学报 ›› 2016, Vol. 42 ›› Issue (12): 2572-2578.doi: 10.13700/j.bh.1001-5965.2016.0362

• 论文 • 上一篇    下一篇

粒子群优化粒子滤波的接收机自主完好性监测

王尔申1,2, 曲萍萍1, 庞涛1, 蓝晓宇1, 陈佳美1   

  1. 1. 沈阳航空航天大学 电子信息工程学院, 沈阳 110136;
    2. 沈阳航空航天大学 辽宁省通用航空重点实验室, 沈阳 110136
  • 收稿日期:2016-05-03 出版日期:2016-12-20 发布日期:2016-10-18
  • 通讯作者: 王尔申,Tel.:024-89723755,E-mail:wanges_2016@126.com E-mail:wanges_2016@126.com
  • 作者简介:王尔申,男,博士,副教授。主要研究方向:卫星导航、航空电子。Tel.:024-89723755,E-mail:wanges_2016@126.com
  • 基金资助:
    国家自然科学基金(61571309,61101161);辽宁省“百千万人才工程”

Receiver autonomous integrity monitoring based on particle swarm optimization particle filter

WANG Ershen1,2, QU Pingping1, PANG Tao1, LAN Xiaoyu1, CHEN Jiamei1   

  1. 1. School of Electronic and Information Engineering, Shenyang Aerospace University, Shenyang 110136, China;
    2. Liaoning General Aviation Key Laboratory, Shenyang Aerospace University, Shenyang 110136, China
  • Received:2016-05-03 Online:2016-12-20 Published:2016-10-18
  • Supported by:
    National Natural Science Foundation of China (61571309, 61101161); Liaoning BaiQianWan Talents Program

摘要: 接收机自主完好性监测(RAIM)是航空卫星导航接收机必不可少的功能,为保持全球卫星导航系统(GNSS)在卫星发生故障时系统性能不降级,需要对卫星故障进行检测和隔离。针对接收机观测噪声非高斯分布的特点,提出一种基于粒子群优化粒子滤波(PSO-PF)的故障检测和隔离算法。通过粒子群优化粒子滤波对状态估计进行一致性检验实现故障检测。采集实测数据验证算法的检测性能,并与基于基本粒子滤波的完好性监测算法进行比较,结果表明:本文所提算法在非高斯测量噪声下可检测并隔离全球定位系统(GPS)故障卫星,其性能优于基于基本粒子滤波的完好性监测算法性能,对研究北斗卫星导航系统(BDS)接收机自主完好性监测具有一定的意义。

关键词: 全球定位系统(GPS), 接收机自主完好性监测(RAIM), 粒子滤波(PF), 故障检测, 粒子群优化(PSO), 北斗卫星导航系统(BDS)

Abstract: Receiver autonomous integrity monitoring(RAIM) is an inseparable part of aviation satellite navigation receiver. Failures or faults due to malfunctions in the global navigation satellite system(GNSS) should be detected and isolated to keep the integrity of the GNSS intact. Because measurement noise does not follow the Gaussian distribution perfectly, a fault detection and exclusion algorithm using the particle swarm optimization particle filter(PSO-PF) was proposed. Failure detection was undertaken by checking the consistency. Through the measured data, the proposed algorithm was compared with that based on PF. The results show that under the condition of non-Gaussian measurement noise, the effectiveness of the proposed approach is illustrated in a problem of global positioning system(GPS) RAIM. Moreover, the performance of the proposed algorithm is better than that based on PF. Meanwhile, the results are instructive for the study of the autonomous integrity monitoring of BeiDou navigation satellite system(BDS).

Key words: global positioning system (GPS), receiver autonomous integrity monitoring (RAIM), particle filter (PF), fault detection, particle swarm optimization (PSO), BeiDou navigation satellite system (BDS)

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