CRITICAL ANALYSIS OF RADAR DATA SIGNAL DE-NOISING BY IMPLEMENTATION OF HAAR WAVELET TRANSFORMATION

Ananth Abhishek Jillepalli, Raghavendra Deeduvanu, Sreenath DeviReddy, Deepak Vangala, Ravi Mathey

Abstract: Data signal de-noising is a crucial part of every transaction which involves capturing waves and processing them into understandable format. Most essentially, this process of data signal de-noising is important in the field of military and defence. Because of the rapid development in military communication systems, a limitation arises in the systems. The limitation being - quantity of signals profoundly increases along with noise and other disturbances’ presence in the signal. In order to overcome this drawback, batch de-noising techniques are implemented on the systems to produce clean signals. In this paper, the critical analysis case of RADAR [RAdio Detection And Ranging] data de-noising by implementation of Haar Wavelet Transformation is considered. A signal set simulation containing four signals procured from RADAR data is taken into consideration. The signals are then subjected to de-noising in MATLAB and indigenously developed python tool using Haar Wavelet Transformations. The ensuing results pertaining to accuracy and efficiency of output signals are then compared.

Keywords: RADAR data, MATLAB tool, Python, De-noising techniques, Haar Wavelet Transformation, Signal Simulation.

DOI: https://doi.org/10.15623/ijret.2015.0405003