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Modern Estimation technique for Undersea Active Target tracking

机译:Undersea主动目标跟踪的现代估计技术

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摘要

Pseudo Linear Estimator (PLE) developed for active target tracking in underwater environments. The PLE in sequential mode is considered here for this application. The results of PLE are compared with that of EKF. The results of Monte-Carlo simulation are presented for two selected scenarios. In PLE, there is no need to initialize target state vector and its covariance matrix with prior (approximate) knowledge and hence its performance is found to be better than that of EKF.
机译:在水下环境中开发用于主动目标跟踪的伪线性估计器(PLE)。此处的序列模式下的PLE在此处考虑。 PLE的结果与EKF的结果进行了比较。 Monte-Carlo仿真的结果呈现出两个选定的方案。在PLE中,没有必要以先前(近似)知识初始化目标状态向量及其协方差矩阵,从而发现其性能比EKF更好。

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