基于扩展卡尔曼滤波的环路跟踪算法仿真分析  

Simulation Analysis of Loop Tracking AlgorithmBased on Extended Kalman Filter

作　　者：阎磊 曲全福 白涛 舒东亮[4] 周超[4] YAN Lei;QU Quan-fu;BAI Tao;SHU Dong-liang;ZHOU Chao(School of Electronic Information Engineering,Tianjin Vocational Institute,Tianjin 300410,China;Navy Force Representative Bueau in No.426 Factory,Dalian 116005,China;Troop 92956 of PLA,Dalian 116041,China;Tianjin Navigation Instruments Research Institute,Tianjin 30031,China)

机构地区：[1]天津职业大学电子信息工程学院,天津300410 [2]海军驻大连四二六厂军事代表室,辽宁大连116005 [3]解放军92956部队,辽宁大连116041 [4]天津航海仪器研究所,天津300131

出　　处：《火力与指挥控制》2022年第2期14-17,共4页Fire Control & Command Control

基　　金：装备预先研究基金资助项目(102010405-0171-001)。

摘　　要：针对接收机定位动态适应性需求,分析了采用扩展卡尔曼滤波的接收机环路跟踪算法,给出了基于扩展卡尔曼滤波的接收机环路跟踪算法的数学模型,基于采集卫星信号模拟器输出的射频信号与程序生成的接收机中频信号,从动态适应性和跟踪灵敏度两个方面,仿真分析了基于标准卡尔曼滤波和基于扩展卡尔曼滤波的环路跟踪算法性能。仿真结果表明,基于扩展卡尔曼滤波的环路跟踪算法在动态环境中具有更好的跟踪性能,且能够改善跟踪灵敏度1 dB,这表明其对复杂应用场景具有更好的适应性。该分析结果能够为算法工程化提供参考和借鉴。Based on the demand of dynamic adaptive of receiver positioning,the receiver loop tracking algorithm with extended Kalman filter is analyzed.The mathematical model of the receiver loop tracking algorithm based on extended Kalman filter is given.With the RF signal output from satellite signal simulator and the receiver IF signal generated by the program,the performance of loop tracking algorithms based on standard and extended Kalman filter are simulated and analyzed from two aspects of dynamic adaptability and tracking sensitivity.The simulation results show that loop tracking algorithm based on extended Kalman filter is better in dynamic environment,and can improve the tracking sensitivity by 1 dB,which means it has better adaptability to complex application scenarios.The analysis results can provide a reference for the engineering of the algorithm.

关 键 词：卡尔曼滤波 扩展卡尔曼滤波 动态性 环路跟踪 仿真分析 

分 类 号：TN965[电子电信—信号与信息处理]