DOIONLINE 
DOIONLINE Publish In |
International Journal of Industrial Electronics and Electrical Engineering (IJIEEE)-IJIEEE |
 Journal Home Volume Issue |
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Issue |
Volume-5,Issue-1 ( Jan, 2017 ) | |||||||||
Paper Title |
A Novel Approach Based on Curvelet Transform For Weak Radar Signal Detection | |||||||||
Author Name |
G. Murali, R Ramesh, Subhani Shaik, Shaik Subhani | |||||||||
Affilition |
Professor, Department of CSE, KKR & KSR institute of Technology and Science –Guntu Professor & HOD, Department of CSE, KKR & KSR institute of Technology and Science –Guntu 3 Research Scholar, Department of CSE,ANU-Guntur Assistant Professor, Department of CSE, St.Mary’s Women’s Engineering College-Guntur | |||||||||
Pages |
77-81 | |||||||||
Abstract |
Localization and detecting weak signal are the challenging tasks in radar systems. Radar performance can be enhanced by mounting the receiver output signal-to-noise ratio (SNR). In this paper, a novel approach based on Curvelet transform for detecting weak radar signal is proposed. We applied the curvelet transform and modulus maximum to detect the locations of laser radar echo signal. Localizing the received signal plays key during the detection of signal in noise. The parameters like SNR, RMSE and curvelet coefficients are evaluated and the simulation to real radar signal is verified by MATLAB. The statistical result shows that the proposed method effectively improves the signal noise rate of the weak signal. Keywords— Curvelet, Weal signal, Radar system, signal-to-noise ratio (SNR), MATLAB. | |||||||||
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