一种基于隐马尔可夫模型的目标轨迹跟踪算法

现有的定位算法只表现了目标的静态位置特征, 不能较好地在目标移动情况下跟踪获取目标的运行行为轨迹。针对这一问题, 设计了一种基于隐马尔可夫模型的目标轨迹跟踪算法。该算法根据小区覆盖范围内的地理位置信息和目标用户的移动速度, 建立隐马尔可夫模型; 然后, 基于维特比译码算法对最佳路径和最佳状态概率进行最优化求解, 实现对目标轨迹的跟踪。仿真结果表明, 该算法可以在基站小区分辨率下精确地获取目标轨迹。

Partial CSI based affinity propagation dynamic clustering algorithm

This paper designed a tracking algorithm based on hidden Markov model for mobile targets. Firstly, it established hidden Markov model according to the location information within cell covering area and target's moving speed, then gained the optimization path and the optimization estate probability by employing Viterbi decoding algorithm, this method could track target trace. The simulation results show that this algorithm can obtain accuracy target's routing within base station cell resolving probability.