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Low-Complexity based TDE Method for OFDM Signal in Higher Time-Varying Fading Channels.

Authors :
Saha Tanangsanakool
Pongsathorn Reangsuntea
Kazuo Mori
Pisit Boonsrimuang
Source :
International Journal of Intelligent Engineering & Systems; 2020, Vol. 13 Issue 4, p21-32, 12p
Publication Year :
2020

Abstract

Orthogonal Frequency Division Multiplexing (OFDM) signal would be damaged significantly by intercarrier interference (ICI) in higher time-varying fading channels. The ICI leads to fatal degradation of bit error rate (BER) performance due to the loss of orthogonality among subcarriers. To solve this problem, this paper proposes a high accuracy time-domain channel impulse response (CIR) estimation method and low-complexity based timedomain equalization (TDE) method for solving the simultaneous equations instead of using an inverse matrix calculation which can achieve better BER performance and lower computation complexity even in higher time-varying fading channels. The salient features of proposed method are to employ a time-domain training sequence (TS) in the estimation of channel impulse response (CIR) instead of using pilot subcarriers in the frequency domain and to employ the time domain equalization (TDE) method with maximum likelihood (ML) estimation instead of using a conventional frequency domain equalization (FDE) method. This paper also proposes a low-complexity iterative method for solving the simultaneous equations instead of using an inverse matrix calculation, which remains the computation complexity up to 7.8% of inverse matrix calculation with the same BER performance but achieves the BER performance when compared with the conventional method. This paper presents various simulation results in higher time-varying fading channels (vehicle speed ≈ 381 km/hrs) to demonstrate the effectiveness of the proposed method as compared with conventional FDE and TDE methods. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
2185310X
Volume :
13
Issue :
4
Database :
Complementary Index
Journal :
International Journal of Intelligent Engineering & Systems
Publication Type :
Academic Journal
Accession number :
144210116
Full Text :
https://doi.org/10.22266/ijies2020.0831.03