TY - JOUR ID - 25648 TI - IMPLEMENTATION OF MTI RADARS USING NEURAL NETWORK JO - International Conference on Aerospace Sciences and Aviation Technology JA - ASAT LA - en SN - 2090-0678 AU - Ibrahim, Fawzy AD - Lecturer, Department of Electrical and Computer Engineering Military Technical College, Kobry El-Koba, Cairo, Egypt. Y1 - 1993 PY - 1993 VL - 5 IS - ASAT CONFERENCE 4 - 6 May 1993, CAIRO SP - 455 EP - 463 DO - 10.21608/asat.1993.25648 N2 - The purpose of moving target indicator (MTI) radars is to reject signals from fixed unwanted targets, such as buildings, hills, and trees, and retain signals for detection of moving targets such as aircraft, ships, missiles,..etc. There are many conventional MTI techniques such as, the adaptive pulse canceller, doppler filter banks, and fast Fourier transform (FFT) filter banks. Each technique suffers certain considerable limitation. This paper utilizes a neural network approach to implement a system that can be used to detect moving targets in severely cluttered environment. A three-layer neural network has been trained to perform as moving target indicator. The back-propagation training algorithm has been used to train the proposed network. Significant performance improvements have been achieved as compared with the conventional fast Fourier transform method. UR - https://asat.journals.ekb.eg/article_25648.html L1 - https://asat.journals.ekb.eg/article_25648_ff238e164dc3772f5b5c0335713fb259.pdf ER -