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- 2017
基于DOA和TDOA的单站外辐射源目标跟踪IPKF方法
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Abstract:
随着电子战、信息战在现代军事领域的地位日趋重要，基于外辐射源的定位跟踪方法成为现代雷达领域的研究热点。针对通过单站接收多外辐射源信号获取角度（direction of arrival，DOA）和时差（time difference of arrival，TDOA）信息对运动目标跟踪的问题，首先推导角度和时差的伪线性观测方程，在通过最小二乘（least squares，LS）算法获取初值的条件下，利用传统的卡尔曼滤波算法实现目标的跟踪，该方法称为伪线性卡尔曼滤波（pseudo-liner Kalman filter，PKF）算法。进一步分析观测方程，提出了利用迭代的IPKF（iterative PKF）目标跟踪算法，并推导其克拉美罗下界（Cramer-Rao lower bound，CRLB）。仿真实验分析说明，该IPKF算法的跟踪精度、收敛速度和稳定性均优于传统的扩展卡尔曼滤波（extended Kalman filter，EKF）算法，且迭代次数越多，性能越好，观测误差越小，跟踪误差越接近CRLB
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