Research Article
Enhancement of Signal to Noise Ratio for QAM Signal in Noisy Channel
@INPROCEEDINGS{10.1007/978-3-031-35078-8_23, author={Ali Salah Mahdi}, title={Enhancement of Signal to Noise Ratio for QAM Signal in Noisy Channel}, proceedings={Intelligent Systems and Machine Learning. First EAI International Conference, ICISML 2022, Hyderabad, India, December 16-17, 2022, Proceedings, Part I}, proceedings_a={ICISML}, year={2023}, month={7}, keywords={OFDM Modified reduced constellation algorithm reduced constellation algorithm}, doi={10.1007/978-3-031-35078-8_23} }- Ali Salah Mahdi
Year: 2023
Enhancement of Signal to Noise Ratio for QAM Signal in Noisy Channel
ICISML
Springer
DOI: 10.1007/978-3-031-35078-8_23
Abstract
At the receiver Channel parameters is an important matter in the wireless communication especially with fast fading Rayleigh channel because of the rapid change of the channel envelop. Data message will suffer during transmission, therefore, there should be a good channel estimation to overcome channel effect. In this paper, modified reduced constellation algorithm MRCA is presented as a solution to estimate Rayleigh fading channel with comb-type tones insertion in Quadrature amplitude modulation modulated signals for OFDM system. The MRCA filter aim to reduce number of tones to estimate Rayleigh fading channel and the number of reduced tone approach to 1/90 (one pilot tones for each 90 data bit) to avoid data rate reduction or bandwidth expansion. The performance of the proposed algorithm was superior on reduced constellation algorithm (RCA) algorithm to estimate channel as showed in the simulation results, as well the performance of the MRCA and RCA, it has been compared with different S/N points in addition to measuring BER verses SNR.
