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:: Volume 14, Number 2 (Vol.14 No.2 2017) ::
Journal of Iranian Association of Electrical and Electronics Engineers 2017, 14(2): 65-73 Back to browse issues page
Sidelobe Reduction for Similar Targets in Radar Pulse Compression Using Neural Network
Dr. A. Hokmabadi , Dr. A. Zakeri, Dr. A. Sherafat
Abstract:   (75 Views)
We use a multilayer back propagation neural network whose training is based on Levenberg-Marquardt optimization method and apply polyphase codes to its input layer for radar pulse compression in environments with similar targets. The advantage of using polyphase codes (in contrast to binary codes) is lower sidelobe levels and much better Doppler tolerance. The use of Levenberg-Marquardt optimization method in our scheme significantly increases the speed of convergence. The results indicated that after 100 iterations, the main sidelobe for P3 code (N=30) is reduced to -238.66 dB and for P4 code (N=45), it is reduced to -240.51 dB. Besides, the proposed method is robust against noise and shows much higher Doppler tolerance.
Keywords: Doppler tolerance, Levenberg-Marquardt optimization, Multilayer neural network, Pulse compression, Sidelobe
Full-Text [PDF 441 kb]   (37 Downloads)    
Type of Article: Research | Subject: Communication
Received: 2017/09/4 | Accepted: 2017/09/4 | Published: 2017/09/4
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Hokmabadi A, Zakeri A, Sherafat A. Sidelobe Reduction for Similar Targets in Radar Pulse Compression Using Neural Network. Journal of Iranian Association of Electrical and Electronics Engineers. 2017; 14 (2) :65-73
URL: http://jiaeee.com/article-1-389-en.html
Volume 14, Number 2 (Vol.14 No.2 2017) Back to browse issues page
نشریه مهندسی برق و الکترونیک ایران Journal of Iranian Association of Electrical and Electronics Engineers
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