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中文摘要：
为了提高雷达组网目标跟踪系统的跟踪能力,常用方法是增加组网中的传感器个数,但同时伴随而来的是传感器选择算法的计算量增加问题。该文结合信息增量和协方差控制的优点提出了一种多传感器选择快速启发式算法,给出了一种＂最佳＂传感器排序准则和传感器优化组合的选择方法,在满足目标跟踪精度的前提下,提高传感器管理的运算效率,仿真结果验证了算法的有效性。
英文摘要：
With the number of sensors in radar networks system increasing,the algorithms of selection sensor sets in the sensor management of radar networks for target tracking will increase the complexity of calculation. Accordingly,a fast heuristic algorithm for multi-sensor selection is proposed by combining the algorithm based on information gain and covariance control. In this algorithm,a ＂best＂sensor sets criteria and optimal sensor combination method is given respectively. It can maintain a desired covariance level with the least use of sensors. The simulation results show that this method is efficiency.
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Fuzzy-logic adaptive variable structure multiple-model algorithm for tracking a high maneuvering tar
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