發(fā)布時間：2018-08-26 16:17

【摘要】：為了提高接收機自主完好性監(jiān)測(receiver autonomous integrity monitoring,RAIM)算法對微小緩變偽距偏差的檢測能力,提出一種基于抗差擴展卡爾曼濾波和外推-積累的RAIM方法。該方法結(jié)合了新息外推法和累積歷元法在檢測微小緩變偽距偏差上的優(yōu)勢,即在新息外推法的基礎(chǔ)上,累加多個歷元的檢驗統(tǒng)計量,來更有效地檢測微小緩變偽距偏差;同時,利用抗差擴展卡爾曼濾波對偏差進行抗差處理,提高了定位精度。仿真結(jié)果表明,相比較于傳統(tǒng)RAIM方法、新息外推法以及累積歷元法,新的RAIM方法均提高了對微小偽距偏差正確檢測的概率,縮短了對緩變偽距偏差的檢測延時,且經(jīng)過偽距偏差修正后定位精度提高。
[Abstract]:In order to improve the detection ability of receiver autonomous integrity monitoring (receiver autonomous integrity monitoring,RAIM) algorithm for small slowly varying pseudo-range deviation, a RAIM method based on robust extended Kalman filter and extrapolation accumulation is proposed. This method combines the advantages of the innovation extrapolation method and the cumulative epoch method in detecting the small and slowly changing pseudo-range deviation, that is, on the basis of the innovation extrapolation method, the test statistics of several epochs are accumulated to detect the small slowly changing pseudo-range deviation more effectively. Robust extended Kalman filter is used to deal with the deviation, and the positioning accuracy is improved. The simulation results show that compared with the traditional RAIM method, the innovation extrapolation method and the cumulative epoch method, the new RAIM method improves the probability of correct detection of the small pseudo-range deviation and shortens the detection delay of the slow-varying pseudo-range deviation. And the positioning accuracy is improved after the correction of pseudo-range deviation.
【作者單位】： 北京理工大學宇航學院;中北大學機電工程學院;
【基金】：國家自然科學基金(41304031,61502257)資助課題
【分類號】：TN967.1

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