PERFORMANCE ANALYSIS OF NEW PROPOSED WINDOW FOR THE IMPROVEMENT OF SNR & FIGURE OF MERIT

Mousumi Karmakar, Priyanka Das

Abstract: The process of communication becomes quite challenging because of the unwanted electrical signals in a communications system. These undesirable signals, usually termed as noise, are random in nature and interfere with the message signals. As a result the signal which is collected from receiver side is not accurate level .In this respects, filtering of signal is very important because noisy signal can mask some important features of the message signal. Hence it is desirable to reduce this noise for proper analysis of the message signal. The signal to noise ratio (SNR) is one of the important measures for reducing the noise. This paper presents the study of low pass FIR filter using a new window techniques for signal Processing. The newly designed windowing filterpresents a new concept for better signal analysis and disturbance detection in the communication systems.The parameters i.e. Power Spectral Density (PSD), signal to noise ratio (SNR), Error Vector Magnitude (EVM) & Figure of Merit are calculated of original signal and analysis the performance of new proposed window method used for low pass FIR filter. This new windowing filter finds applications in signal analysis, communication system and image compression with a lot of other fields.The results have been concluded using MATLAB R2012 software.

Keywords: Window method for Noise reduction, Figure of Merit, SNR, EVM, New window performance

DOI: https://doi.org/10.15623/ijret.2013.0212058