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为解决组网雷达对目标跟踪中的量测非线性问题,提出基于最佳线性无偏估计器(BLUE)准则的融合滤波方法。建立以融合中心为原点的组网雷达对目标定位的量测方程,推导出极坐标系与球坐标系下跟踪目标的BLUE滤波模型。理论分析表明,集中式BLUE滤波架构在估计单个雷达量测转换误差统计特性的同时,还估计出雷达间量测转换误差的统计特性。因此,跟踪精度和置信度较分布式BLUE滤波方法有显著提高,计算量较其他算法也有明显优势。不同场景下的仿真分析证明:该方法在不同状态噪声水平下的表现优异,是一种很有竞争力的跟踪算法。
In order to solve the problem of measurement nonlinearity in target tracking by networked radar, a fusion filtering method based on BLUE criterion is proposed. The measurement equation of the target location based on the fusion center is established, and the BLUE filter model of the tracking target under polar coordinate system and spherical coordinate system is derived. Theoretical analysis shows that the centralized BLUE filter architecture estimates the statistical characteristics of the conversion error of single radar measurement while also estimating the statistical characteristics of the conversion error between measurements of the radar. Therefore, the tracking accuracy and confidence are significantly improved compared with the distributed BLUE filtering method, and the computational cost is obviously superior to other algorithms. The simulation analysis under different scenarios proves that this method is a very competitive tracking algorithm with excellent performance under different state noise levels.