Adaptive Genetic Fuzzy Decisive Technique Based Moving Target Identification using Multichannel SAR Set-up
Eppili Jaya1, B.T. Krishna2
1Eppili Jaya, Ph.D Scholar, Department of ECE, JNTUK University, Kakinada (A.P), India.
2B.T. Krishna, Department of ECE, JNTUK University, Kakinada (A.P), India.
Manuscript received on 23 November 2019 | Revised Manuscript received on 11 December 2019 | Manuscript Published on 30 December 2019 | PP: 168-171 | Volume-9 Issue-2S3 December 2019 | Retrieval Number: B10431292S319/2019©BEIESP | DOI: 10.35940/ijitee.B1043.1292S319
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In the ongoing synthetic aperture radar (SAR) methodology, precise and efficient identification of moving targets is a prominent task. Fractional FT (FrFT)accumulates the energy of the required chirp signal in order to separate it as noise from the chirp.The proposed SAR Moving Target Identification (MTI) process is based on FrFT being combined with the definitive adaptive genetic or neurofuzzy method. The correlation between the transmitted signal and the received signal’s FrFT is determined, optimizing the appropriate signal energy and applying it to the decisive adaptive genetic fuzzy unit, which identifies the object location using the fuzzy linguistic rules adaptively.The simulation is conducted by changing the number of targets and number of iterations and the evaluation is performed based on parameters such as missed target rate, detection time and Mean Square Error (MSE), showing that the proposed Adaptive Genetic Fuzzy decisiveMTIsystem located the object with a minimum missed target rate of 0.12 in 5.02s and MSE of 23377.4.
Keywords: Adaptive Genetic Fuzzy Decisive Technique, Multichannel SAR, Fractional FT, Function of Ambiguity, Correlation.
Scope of the Article: Fuzzy Logics