基于遗传算法的TDOA定位系统的最优布站算法

为提高到达时间差(time difference of arrival,TDOA)定位系统的定位精度,提出了利用遗传算法(genetic algorithm,GA)寻找规定平面区域内TDOA定位系统的最佳布站策略,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Cramer-Rao界的平均值最小。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GA的寻优布站算法。仿真结果表明,该算法的寻优布站结果接近于系统的最优布站。

Station arrangement strategy of TDOA location system based on genetic algorithm

The best station arrangement strategy of TDOA location system based on genetic algorithm is presented to advance the location accuracy of the TDOA location system.The fitness principle to be contented is that the best station arrangement strategy makes the average CRLB of target space least.The encoding of node position and fitness function in GA are researched.On the basis of this,an algorithm to search the best station arrangement strategy is proposed based on GA.Simulation result shows that the disposal of station arrangement to this algorithm approaches to the best station arrangement strategy.