ISSN 2348-1218 (print) International Journal of Interdisciplinary Research and Innovations ISSN 2348-1226 (online) Vol. 11, Issue 1, pp: (1-4), Month: January 2023 - March 2023, Available at: www.researchpublish.com
COMPARISON OF LMS LINEAR AND CMA EQUALIZATION IN COMMUNICATION SYSTEM NAVNEET VIVEK1, AMIT SAINI2, DUSHYANT KUMAR3 Assistant Professor, School of Computing University of Engineering and technology Roorkee1 Assistant Professor, ECE Dept. Graphic Era Hill University Dehradun2 Assistant Professor, ECE Dept. Dev Bhoomi Group of Institution, Saharanpur 3 DOI: https://doi.org/10.5281/zenodo.7509470
Published Date: 06-January-2023 Abstract: In this paper, the adaptive equalization techniques are used to transmit data through a communication channel. Because the signal cannot be demodulate perfectly at the output of a communication system. However, in practically, all the channels are non ideal and noisy in nature. So, to recover the original signal after demodulation, equalizers minimize the error between the original transmitted signal and demodulated signal. In this paper Least Mean Square (LMS) and Constant Modulus Algorithm (CMA) Algorithms are used. Keywords: Adaptive Filter, Adaptive Equalization, Channel Equalization, LMS Linear Equalization RLS Linear Equalization and Constant Modulus Algorithm.
1. INTRODUCTION An adaptive equalizer is an equalizer that automatically adapts to time-varying properties of the communication channel. The main function of the adaptive channel equalization is to eliminate inter symbol interference (ISI) and the additive noise as much as possible in a communication channel. Communication systems transmit a signal from one point to another across a communication channel, such as an electrical wire, a fiber optical cable, or a wireless channel. In this paper, adaptive equalizer system is an equalizer that automatically adapts to time-varying properties of the communication channel. The adaptive equalizer is used in high-speed communication systems, which do not use differential modulation schemes or frequency division multiplexing. It is frequently used with coherent modulations such as phase shift keying, mitigating the effects of multipath propagation and Doppler spreading. So the adaptive equalizer compensates the signal distortion. During the transmission process, the signal that contains information might become distorted [1]. To compensate for this distortion, you can apply an adaptive filter to the communication channel. The adaptive filter works as an adaptive channel equalizer. The figure 1 shows the basic block diagram of an adaptive channel equalization system [6] & [7].
Figure 1: basic block diagram of an adaptive channel equalization system
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