Simulation of Performance Comparison between Discrete Wavelet Transform and Discrete Cosine Transform Methods for Radar Signal Processing in High-Noise Area

Abstract

Detection of low signal and determination target locations are tremendously important in the radar system. Performance of radar can be enhanced by improving the signal-to-noise ratio of the received signal at the receiver. In this paper, we demonstrate an algorithm in radar signal processing, due to extract the signal target in the place of noise. This algorithm is based on Discrete Cosines Transform (DCT) and Discrete Wavelet Transform (DWT) methods. DWT signal processing analyses and comparatives with mother wavelet Haar, Daubechies-12, Coiflet-5 and Symlet-8. In addition, DCT signal processing analyses and comparatives with the same window function and uses to restrict the signal. Window function has influenced the signal resolution in frequency domain. Window functions that are used in this research are Rectangular, Hamming, Hanning and Dolph-Chebyshev. The results of the simulation and analysis show that mother wavelet with DWT, wavelet Daubechies-12 and Symlet-8 gives the best performance while mother wavelet Haar gives a bad performance. Wavelet Daubechies-12 gives the biggest signal to noise ratio that is 32.0603 dB. Mother wavelet Symlet-8 gives 32.6589 dB. Mother wavelet Haar gives 14.6692 dB. Testing DCT window function, window Dolph-Chebyshev gives the best performance, which gives the best separation of the signal. Analysis of signal reflection that accepted by radar shows the result that DWT is giving better performance than DCT in breaking of noise.