Efficient Implementation of Direction Finding of Radar Targets Using Artificial Intelligance Techniqes

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Zare Hematabadi, Ali Akbar | 2015

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Type of Document: M.Sc. Thesis
Language: Farsi
Document No: 47387 (05)
University: Sharif University of Technology
Department: Electrical Engineering
Advisor(s): Sanaei, Esmaeel; Pezeshk, Amir Mansour
Abstract:
There are many methods for direction finding (DF) of radar targets, while the complexity and time elapsed calculation are their main drawbacks, thus the real time implementation of this methods are difficult. Artificial neural network (ANN) for DF is one of the optimum and good ways to implementation that have better result versus other techniques. In this thesis, direction finding problem for radar targets by using artificial neural networks have been studied. A new method is presented to detect the multiple targets simultaneously, that it can be implemented in digital form easily. Here one-dimensional DF by using uniform linear array (ULA) discussed and formulated, then the proposed method applied and implemented in digital form. The results of this method compared to conventional theqniques of DF, such as MUSIC and it is showed the new method has better performance, and it is also comparable with neural network techniques. Unlike most other neural approaches, proposed method has only one stage, so in terms of the speed is superior to the other multi-stage approaches
Keywords:
Direction Finding ; Radar Targets ; Artificial Neural Network ; Uniform Linear Array (ULA)

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