Optimal Adaptive Waveform Selection for Target Tracking

摘要：

In cognitive radar, the transmitter adjusts its illumination of the environment in an intelligent manner and selects the best waveform sequence according to different environment Waveform selection is an important problem in the research of cognitive radar. The problem of adaptive waveform selection can be viewed as a problem of stochastic dynamic programming. However, as a result of large state variable space and large decision variable space, the computa-tional cost of solution of optimality equations is very high. To account for these shortcomings, we can use forward dynamic programming algorithm approximating the expectation. This method can reduce the computational cost compared to the traditional algorithm, especially in problems of high dimensions. The adaptive scheduling algorithm can minimize target tracking errors, too.

作者: B.Wang J.K.Wang X.Song F.L.Liu

作者单位: Northeastern University,China

会议类型: 国际会议

会议名称: Progress in Electromagnetics Research Symposium 2009(2009年电磁学研究新进展学术研讨会)(PIERS 2009)

会议地点: 北京

会议语种:英文

页码: 715-718

在线出版日期: 2009-03-23（万方平台首次上网日期，不代表论文的发表时间）