Performance analysis of turbo-coded MIMO–OFDM system for underwater communication. (April 2015)

• Record Type: Journal Article
• Authors: Iruthayanathan, Nelson; Vishvaksenan, K.S.; Rajendran, V.; Mohankumar, Saisrinivasan
• Is Part Of: Computers & electrical engineering. Volume 43(2015)
• Page Start: 1
• Page End: 8
• Publication Date: 2015-04
• Subjects: Minimum-Mean-Square-Error -- Ordered successive interference cancellation -- Vertical bell laboratories layered space–time architecture -- Zero-Forcing; Computer engineering -- Periodicals; Electrical engineering -- Periodicals; Electrical engineering -- Data processing -- Periodicals; Ordinateurs -- Conception et construction -- Périodiques; Électrotechnique -- Périodiques; Électrotechnique -- Informatique -- Périodiques; Computer engineering; Electrical engineering; Electrical engineering -- Data processing; Periodicals; Electronic journals; 621.302854
• DOI: 10.1016/j.compeleceng.2015.01.018
• Languages: English
• ISSNs: 0045-7906

Abstract

Abstract : Graphical abstract: Highlights: We investigate the performance of VBLAST assisted MIMO–OFDM system in underwater communications. Performance is analyzed with non-linear MUD when communicating over multi-path environment. BER performance is compared for coded and uncoded ZF/OSIC and MMSE/OSIC. Coded multi-carrier MIMO system out performs uncoded system in terms of BER performance. Coded multi-carrier MIMO system with MMSE/OSIC provides better BER performance than system with coded ZF/OSIC. Abstract: In this article, we investigate the performance of a coded multiple-input multiple-output (MIMO) multi-carrier (MC) system in underwater communication, where acoustic interference and ambient noise are the two major channel impairments. The channel model considered in this work is based on the shallow water model that has eleven paths. In our work, the acoustic signal is spread with the aid of a high rate spreading sequence to alleviate the effects of acoustic interference. At the receiver, non-linear detectors based on Zero-Forcing (ZF) and Minimum-Mean-Square-Error (MMSE) are employed for signal detection. The simulation results reveal that the system under consideration with the MMSE detector provides better performance in terms of the achievable bit error rate than the system with the ZF detector while achieving higher data rates.