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https://hdl.handle.net/20.500.11851/10508
Title: | Track While Scan Radar Design and Simulation | Authors: | Karahan, M. Dilmen, A. Lacinkaya, F. Akay, A.N. Kasnakoğlu, C. |
Keywords: | Gaussian noise radar detection radar signal processing radar tracking signal to noise ratio surveillance target tracking Aircraft detection Gaussian noise (electronic) Matched filters MATLAB Radar signal processing Signal detection Signal to noise ratio Tracking radar Gaussian noise Gaussians MATLAB algorithm Radar design Radar detection Radar simulation Surveillance Targets tracking Threshold-value Track-while-scan Radar Radar tracking |
Publisher: | Institute of Electrical and Electronics Engineers Inc. | Abstract: | Track While Scan (TWS) radars are generally used in military systems, constantly monitoring the positions of the target and generating data about it. They measure a target's coordinates, determine its trajectory, and predict its next location. They can usually track a single target but do so with very high sensitivity. "TWS Radar"is often used as a "Fire Control Radar"in the armed forces. This study addresses the design of a TWS radar with MATLAB programming language. The operation of this radar was simulated, and targets were detected using matched filter in MATLAB. Transmitted and received signal parameters are explained. A MATLAB algorithm which generates the transmitted and the received pulses for single Pulse Repetition Interval (PRI) was written in the first step. Match filtering was implemented for detecting targets. A fixed threshold value is defined, and position of the targets are reported with MATLAB algorithm. A white Gaussian noise was added to the output of the matched filter and targets are reported for the same threshold value. Radar was tested under the different Signal to Noise Ratio (SNR) rates. The scope view of the TWS Radar was plotted for 2 degrees antenna beam width for different SNR values. © 2023 IEEE. | Description: | 13th International Symposium on Advanced Topics in Electrical Engineering, ATEE 2023 -- 23 March 2023 through 25 March 2023 -- 188327 | URI: | https://doi.org/10.1109/ATEE58038.2023.10108148 https://hdl.handle.net/20.500.11851/10508 |
ISBN: | 9798350331936 |
Appears in Collections: | Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection |
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