International Journal of Industrial Electronics and Electrical Engineering(IJIEEE).
Paper Title - A Novel Approach Based on Curvelet Transform For Weak Radar Signal Detection
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
Keywords— Curvelet, Weal signal, Radar system, signal-to-noise ratio (SNR), MATLAB.
Author - G. Murali, R Ramesh, Subhani Shaik, Shaik Subhani
Citation - G. Murali ,
R Ramesh ,
Subhani Shaik ,
Shaik Subhani ,
G. Murali, R Ramesh, Subhani Shaik, Shaik Subhani " A Novel Approach Based on Curvelet Transform For Weak Radar Signal Detection " ,
International Journal of Industrial Electronics and Electrical Engineering , Volume-5,Issue-1 ( Jan, 2017 )