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.
Ibrahim, F. (1993). IMPLEMENTATION OF MTI RADARS USING NEURAL NETWORK. International Conference on Aerospace Sciences and Aviation Technology, 5(ASAT CONFERENCE 4 - 6 May 1993, CAIRO), 455-463. doi: 10.21608/asat.1993.25648
MLA
Fawzy Ibrahim. "IMPLEMENTATION OF MTI RADARS USING NEURAL NETWORK", International Conference on Aerospace Sciences and Aviation Technology, 5, ASAT CONFERENCE 4 - 6 May 1993, CAIRO, 1993, 455-463. doi: 10.21608/asat.1993.25648
HARVARD
Ibrahim, F. (1993). 'IMPLEMENTATION OF MTI RADARS USING NEURAL NETWORK', International Conference on Aerospace Sciences and Aviation Technology, 5(ASAT CONFERENCE 4 - 6 May 1993, CAIRO), pp. 455-463. doi: 10.21608/asat.1993.25648
VANCOUVER
Ibrahim, F. IMPLEMENTATION OF MTI RADARS USING NEURAL NETWORK. International Conference on Aerospace Sciences and Aviation Technology, 1993; 5(ASAT CONFERENCE 4 - 6 May 1993, CAIRO): 455-463. doi: 10.21608/asat.1993.25648
)
View on SCiNiTO