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The Passive Target Motion Parameters Estimate Algorithm Based on Particle Filter

机译:基于粒子滤波器的被动目标运动参数估计算法

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摘要

A new passive target motion analysis (TMA) based on method a single seismic-filed vector sensor is designed using pitching angle and multi-path delay is studied. The state equation and measurement equation are established and analyzed systemically by improvement particle filter based on the measurements of both bearings and time delay that are collected by the sensor. The Monte Carlo simulation experiment results demonstrate that the algorithm has some advantages of fast convergence, high precision and stability.
机译:基于方法的新的无源目标运动分析(TMA)使用俯仰角和多路径延迟设计了单个地震型矢量传感器。基于由传感器收集的两个轴承和时间延迟的测量,通过改进粒子滤波器来系统地建立和分析状态等式和测量方程。 Monte Carlo仿真实验结果表明,该算法具有快速收敛性,精度高,稳定性高的一些优点。

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