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中文摘要：
为了检验三维定位模型下伪线性卡尔曼滤波（PLKF）算法的定位性能,建立了增加角度变化率信息的三维定位模型,推导了所建模型下的伪线性测量方程,在此基础上用PLKF算法实现了对运动辐射源的无源定位与跟踪,并详细分析了其在三维定位模型下的定位性能。仿真结果表明,用角度变化率信息改进的PLKF算法具有更快的收敛速度和更高的收敛精度。
英文摘要：
The three-dimensional location model with the azimuth changing rate information was established to test the performance of PLKF algorithm, and then the pseudo-linear measurement equation was derived from the model. Based on this, the PLKF algorithm was used to locate and track the moving target and a detailed analysis of its performance was made. The computer simulation indicates that the performance of PLKF algorithm based on three-dimension model is good, and the improved PLKF algorithm using the azimuth changing information has higher precision and faster convergence.
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