نویسندگان
دانشکده و پژوهشکده فناوری اطلاعات و اتباطات
چکیده
کلیدواژهها
عنوان مقاله [English]
In this paper an intelligent algorithm for clustering, between pulse modulation detection and interleaved pulses train identification is offered. In the proposed algorithm, for interleave pulses received clustering from SOFM neural network (due to its high accuracy compared with other neural networks such CLNN neural network and Fuzzy ART neural network) and for between pulse modulation detection from matrix multiplication method and for radar type identification from RBF neural network is used. The results of the proposed algorithm simulation shows with the presence of 5% noise and 5% missing pulses , clustering section accuracy is equal 91.8% , between pulse modulation detection section accuracy is equal 98% and radar type identification section accuracy is equal 99.2% .thus the resultant accuracy of the proposed algorithm is 89.244%.
کلیدواژهها [English]
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