Open AccessStatistical Analysis of Target Detection using TRT-SGRFT
Author(s) -
T. Jagadesh*,
B.Sheela Rani
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.c5379.098319
Subject(s) - clutter , computer science , range (aeronautics) , fourier transform , interference (communication) , noise (video) , algorithm , radon transform , artificial intelligence , mathematics , engineering , radar , image (mathematics) , telecommunications , mathematical analysis , channel (broadcasting) , aerospace engineering
This paper proposes novel methodology for target detection and motion parameter estimation for a maneuvering target. Noise like interference may inculcate few difficulties such as Range Migration (RM) and Doppler Frequency Migration (DFM). This paper proposes a novel method to overcome the issue. The method is to use Time Reversing Transform (TRT) and special generalized Radon Fourier transform (SGRFT), i.e., TRT-SGRFT. TRT separates the motion parameters and reduces the clutter. Then the SGRFT operation is employed to estimate part of the motion parameters. This method ensures a good tradeoff between the computational cost and estimation performance. Finally, simulations results are discussed to demonstrate the numerical results.