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基于遗传算法的TDOA/AOA定位系统的最优布站算法 被引量:10

Station arrangement strategy of TDOA/AOA location system based on genetic algorithm
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摘要 推导了TDOA/AOA混合定位算法产生的定位误差的克拉美-罗下界,提出了利用遗传算法(GA)寻找规定平面区域内的TDOA/AOA定位系统最佳布站策略的方法,其所遵循的最佳布站原则是使得定位的目标空间的定位误差的克拉美-罗下界的平均值最小。文中对GA的站点位置编码和适应度函数的选择进行了研究,在此基础上提出了基于GA的寻优布站算法。并对基于GA的寻优布站算法在不同情况下进行了仿真实验。 CRLB of location error produced by TDOMAOA location algorithm is derived.An algorithm searching for the best station arrangement strategy of TDOA location system is proposed,which is based on genetic algorithm.The fitness principle should be contented is that the best station arrangement strategy makes the average CRLB of location error least.The encoding of node position and fitness function in GA are researched.Algorithm to search the best station arrangement strategy is proposed based on GA.In the simulation experiment part,the searching-best algorithm based on GA is simulated under different situation.
作者 汪波 薛磊
出处 《计算机工程与应用》 CSCD 北大核心 2009年第24期219-221,共3页 Computer Engineering and Applications
关键词 布站 到达时间差 到达角 遗传算法 station arrangement Time Difference of Arriva(lTDOA) Angel of Arriva(lAOA) Genetic Algorithm(GA)
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