GPS接收机自主完好性监测算法硬件仿真

摘要

针对卡尔曼滤波算法在处理 GPS接收机非高斯测量噪声性能下降的问题，提出了粒子滤波用于接收机自主完好性监测的算法，并利用 FPGA对算法进行仿真。通过将粒子滤波与似然比结合建立一致性检验统计量进而对故障卫星检测与隔离，对算法进行了详细的理论分析和建模，给出了算法的详细描述和仿真方法，在 FPGA中采用 Verilog编程验证粒子滤波算法用于接收机自主完好性监测的模块设计。结果表明：设计的各个模块运行结果正确，可与 Microblaze软核配合完成接收机自主完好性监测算法的全部功能的设计。%In order to overcome the degeneracy phenomenon of Kalman in processing non-Gaussian measure-ment noise of GPS receiver,the particle filter algorithm was applied into the receiver autonomous integrity moni-tor algorithm.Simulation was carried out and implemented by FPGA.The fault satellite was detected and isolated by combining log-likelihood ratio with the particle filter,and the algorithm was analyzed and modeled.The al-gorithm was described in detail,and each module of the algorithm was implemented by Verilog HDL in FP-GA.The simulation results showed tha each designed module were effective,and could complete the full func-tionality of the algorithm by Microblaze soft core and FPGA in hardware design.