最小范数准则在多目标DOA跟踪中的应用
doi: 10.3724/SP.J.1146.2007.01458
Tracking DOA of Multiple Targets Based on a Matrix Norm Minimization Technique
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摘要: 该文分析了协方差矩阵的内部结构,得到了一种具有较低运算量的基于范数最小准则的多目标DOA跟踪算法。进一步,在其基础上通过解一组线性方程组得到了不同时间段各个目标的回波功率。此算法适用于各个目标的回波功率随时间变化的情况,可以对各个目标的DOA和功率进行联合跟踪。仿真结果表明该算法具有较高的跟踪性能。Abstract: Analyzing the inner configuration of the covariance matrix, a new multiple targets DOA tracking algorithm is presented based on a matrix norm minimization technique. Furthermore, by solving a set of linear equations, the power of each target is got at different time. This algorithm can be applied when the power of each target changes with time, and it can track the angles and power jointly. Simulation results show the method has high performance in tracking.
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