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[AI-NN-PR遗传算法TDOA解决

Description: 用遗传算法解决通信中的TDOA问题 文件名 program 完成功能 求出在进行account_test次的试验中每一次的最优染色体,并且求出均值MV,和均方误差MSE 文件名 definition_constant( ) 完成功能 对各个常量试验参数进行设定 文件名 main_program 完成功能 完成一次试验的计算 文件名 all_Noise 完成功能 计算TDOA值(由基站所测量的TDOA(受到噪声的干扰)) 文件名 gen_ini_pop_arr 完成功能 产生染色体矩阵pop_arr,矩阵的1,2行为估计的x,y坐标,矩阵的3,4行为0。-using genetic algorithms to solve the communication problems TDOA documents were obtained functional program completed during account_test meeting the test of the optimal every chromosome, and calculated average MV, and the mean square error MSE definition_constant file name () function to complete all regular Experimental parameters set main_program documents were completed functional testing of a complete calculation File Name all_Noise complete functional calculation TDOA value (measured from the base station TDOA (subject to noise interference )) File Name gen_ini_pop_arr have completed functional matrix pop_arr chromosome, the matrix acts estimated 1,2 x, y coordinates, and the matrix acts 3,4 0.
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