摘要
针对传统RAIM算法难以检测连续微小伪距偏差的问题,提出一种基于非相干积累的微小伪距偏差RAIM方法。该方法通过对多个历元时刻奇偶矢量的非相干积累,使得检测统计量的非中心参数增大,从而提高算法对于微小伪距偏差的故障检测概率。理论分析和仿真结果表明,该方法在历元累加数为10时,可以显著提高对微小伪距偏差的检测性能,其可检测最小伪距偏差值约为传统奇偶矢量法的1/3。同时,该方法无需判断伪距偏差符号,在伪距偏差快速变化条件下,也能有效检测出微小伪距偏差。
The traditional RAIM algorithm is difficult to detect tiny and continuous pseudo-range biases, a method based on non-coherent accumulation is proposed for tiny pseudo-range biases. In this method, through parity vector noncoherent accumulation for several epochs, the non-central parameter of test statistics is increased, thus enhancing the fault detection probability of proposed method for tiny pseudo-range biases. Theoretical analysis and simulation results show that the proposed method can significantly improve the detection performance of tiny pseudo-range biases when the cumulative epoch number is 10, which detected smallest bias is about 1/3 of the traditional pseudo-parity vector method. Meanwhile, without determining the pseudo-range error symbols, this method also can effectively detect the tiny pseudo-range biases under rapidly changing pseudo-range error conditions.
出处
《宇航学报》
EI
CAS
CSCD
北大核心
2014年第6期708-712,共5页
Journal of Astronautics
基金
教育部"新世纪优秀人才支持计划(NCET-08-0144)
