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遗传算法TDOA解决

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  • Update : 2008-10-13
  • Size : 2.78kb
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  • Author :田园
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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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Packet : 101259370遗传算法tdoa解决.rar filelist
遗传算法
遗传算法\PROGRAM.m
遗传算法\cal_Deta_R_and_R_all_Noise.m
遗传算法\gen_ini_pop_arr.m
遗传算法\definition_constant.m
遗传算法\main_program.m
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