旋转长基线干涉仪“维特比-卡尔曼”滤波定位算法  

Position algorithm of RLBI on Viterbi-Kalman filter

作　　者：马爽 蔡凯[1] 刘元华[1] Ma Shuang;Cai Kai;Liu Yuanhua(Beijing Remote Sensing Information Institute,Beijing 100011,China)

机构地区：[1]北京遥感信息研究所,北京100011

出　　处：《航天电子对抗》2021年第3期49-54,59,共7页Aerospace Electronic Warfare

摘　　要：针对旋转长基线干涉仪利用模糊相位差直接定位的问题,提出了一种"维特比-卡尔曼"滤波定位算法。以不同时刻目标位置所在的相位差条带为状态,用隐马尔可夫模型(HMM)对由基线不断旋转引起的状态转移过程和相位差观测过程进行建模。将"卡尔曼"滤波步骤嵌入到"维特比"算法递推过程中,同步计算目标估计位置和最优路径概率,解码最优状态序列,实现了利用模糊相位差直接滤波定位。仿真实验表明了该方法的有效性。To solve the problem of passive location using ambiguous phase difference of rotated long baseline interferometer(RLBI),a"Viterbi-Kalman"filtering algorithm is proposed.With the phase difference"strip"where the target is located as the state,Hidden Markov Model(HMM)is used to model the process of state transition caused by the rotating baseline,and the process of phase difference observation.The steps of Kalman filter is embedded into the process of Viterbi algorithm,in order to recursively calculate the estimated location of the target and the probability of the optimal path.Moreover,the optimal state sequence can be decoded simultaneously.Simulation results show the effectiveness of the proposed method.

关 键 词：无源定位 旋转长基线干涉仪 隐马尔可夫模型 卡尔曼滤波 维特比算法 

分 类 号：TN971[电子电信—信号与信息处理]