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矢量GNSS接收機自主完好性監(jiān)控性能研究

鄒曉軍,  廉保旺

鄒曉軍, 廉保旺. 矢量GNSS接收機自主完好性監(jiān)控性能研究[J]. 電子與信息學(xué)報, 2019, 41(8): 1966-1973. doi: 10.11999/JEIT180948
引用本文: 鄒曉軍, 廉保旺. 矢量GNSS接收機自主完好性監(jiān)控性能研究[J]. 電子與信息學(xué)報, 2019, 41(8): 1966-1973. doi: 10.11999/JEIT180948
Xiaojun ZOU, Baowang LIAN. Research on Autonomous Integrity Monitoring Performance of Vector GNSS Receiver[J]. Journal of Electronics & Information Technology, 2019, 41(8): 1966-1973. doi: 10.11999/JEIT180948
Citation: Xiaojun ZOU, Baowang LIAN. Research on Autonomous Integrity Monitoring Performance of Vector GNSS Receiver[J]. Journal of Electronics & Information Technology, 2019, 41(8): 1966-1973. doi: 10.11999/JEIT180948

矢量GNSS接收機自主完好性監(jiān)控性能研究

doi: 10.11999/JEIT180948

  • 西北工業(yè)大學(xué)電子信息學(xué)院 ??西安 ??710072

基金項目: 國家自然科學(xué)基金(61803310)
詳細(xì)信息
    作者簡介:

    鄒曉軍：男，1984年生，博士生，研究方向為GNSS接收機矢量跟蹤技術(shù)、RAIM等

    廉保旺：男，1962年生，教授，博士生導(dǎo)師，研究方向為衛(wèi)星導(dǎo)航、通信信號處理等

    通訊作者:

    鄒曉軍　smallarmy168@163.com

  • 中圖分類號: TN967

Research on Autonomous Integrity Monitoring Performance of Vector GNSS Receiver

  • School of Electronics and Information, Northwestern Polytechnical University, Xi’an 710072, China

Funds: The National Natural Science Foundation of China (61803310)
  • 摘要: 在分析了矢量跟蹤環(huán)路和標(biāo)量跟蹤環(huán)路故障檢測方面差異的基礎(chǔ)上，該文指出全球?qū)Ш叫l(wèi)星系統(tǒng)(GNSS)矢量接收機自主完好性監(jiān)控(RAIM)技術(shù)所存在的問題，即RAIM檢測量受噪聲影響導(dǎo)致檢測故障不準(zhǔn)確，和故障信息在環(huán)路中的傳播使得難以準(zhǔn)確識別出故障源。針對上述問題，對矢量接收機的結(jié)構(gòu)進(jìn)行了改進(jìn)，提出基于預(yù)濾波器的雙環(huán)路跟蹤結(jié)構(gòu)。在新結(jié)構(gòu)中，通過基于容積卡爾曼濾波算法的預(yù)濾波器削弱噪聲的影響，并通過雙環(huán)路切換的方法阻止故障信息的傳播。仿真實驗結(jié)果表明，改進(jìn)后的矢量接收機不僅RAIM檢測統(tǒng)計量的均值和方差都顯著減小，而且識別故障的準(zhǔn)確率有了明顯的提高，RAIM性能較原來得到了有效提升。
    Abstract: Based on the analysis on the difference between vector tracking loop and scalar tracking loop on fault detection, it is pointed out that in vector receiver of Global Navigation Satellite System (GNSS), the detection statistic of Receiver Autonomous Integrity Monitoring (RAIM) algorithm is inaccurate because of the influence of noise, and the propagation of fault information in the loop makes it difficult to identify the fault source. To solve the problems, a double loop tracking structure based on pre-filter is proposed after modifying the structure of vector receiver. In the new receiver, the influence of noise is reduced by pre-filter based on cubature Kalman filtering algorithm, and the fault information is prevented from propagating to each other by switching the loop. Finally, the method is verified by simulation. Simulation results show that the improved vector receiver not only greatly reduces the mean and variance of RAIM detection statistics, but also improves the accuracy of fault identification. Thus, the performance of RAIM is significantly improved.
    • HTML全文

  • 圖  1  基于預(yù)濾波器的雙環(huán)路跟蹤結(jié)構(gòu)

    圖  2  3維方向上的位置誤差

    圖  3  8個接收通道輸出的碼相位誤差

    圖  4  1號接收通道輸出的碼相位誤差

    圖  5  RAIM檢測統(tǒng)計量的曲線圖

    圖  6  矢量跟蹤環(huán)路對應(yīng)的故障識別檢測量的曲線圖

    圖  7  標(biāo)量跟蹤環(huán)路對應(yīng)的故障識別檢測量的曲線圖

    圖  8  突變故障注入后3維方向上的位置誤差

    圖  9  突變故障注入后8個接收通道輸出的碼相位誤差

    圖  10  突變故障對應(yīng)的RAIM檢測統(tǒng)計量的曲線圖

    圖  11  矢量環(huán)路注入突變故障后識別檢測量的曲線圖

    圖  12  標(biāo)量環(huán)路注入突變故障后識別檢測量的曲線圖

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出版歷程
  • 收稿日期:  2018-10-12
  • 修回日期:  2019-02-16
  • 網(wǎng)絡(luò)出版日期:  2019-02-26
  • 刊出日期:  2019-08-01

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