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针对分布式被动传感器网的特点,提出了一种异步采样条件下机动目标跟踪方法。该方法采用交互式多模型概率数据互联滤波器跟踪机动目标。为启动滤波器,采用最大似然法估计目标初始状态;为适应异步观测条件,提出了马尔可夫转移概率计算方法。仿真实验表明,在分布式被动传感器网中采用该算法能有效进行机动目标跟踪。
Aiming at the characteristics of distributed passive sensor network, a method of maneuvering target tracking under asynchronous sampling condition is proposed. The method uses an interactive multi-model probability data filter to track maneuvering targets. In order to start the filter, the maximum likelihood method is used to estimate the initial state of the target. In order to adapt to the asynchronous observation conditions, a Markov transition probability calculation method is proposed. Simulation results show that this algorithm can effectively track maneuvering targets in distributed passive sensor networks.