Indonesian Journal of Electrical Engineering and Computer Science
Vol 11, No 12: December 2013

Joint Interference mitigation with channel estimated in Underwater Acoustic OFDM system

Huang Mei (Key Laboratory of Underwater Acoustic Communication and Marine Information Technology (Xiamen University), Ministry of Education, P.R.C Xiamen 361005, China)
Sun Haixin (Key Laboratory of Underwater Acoustic Communication and Marine Information Technoloy (Xiamen University),Ministry of Education,Xiamen,Fujian,China.)
Cheng En (Key Laboratory of Underwater Acoustic Communication and Marine Information Technoloy (Xiamen University),Ministry of Education, Xiamen ,Fujian,China)
Kuai Xiaoyan (Key Laboratory of Underwater Acoustic Communication and Marine Information Technoloy (Xiamen University),Ministry of Education,P.R.C Xiamen 361005,China)
Xu Xiaoka (Dept.of Electrical and Computer Engineering,University of Connecticut,Storrs,CT 06269 USA)



Article Info

Publish Date
01 Dec 2013

Abstract

Multicarrier modulation in the form of orthogonal frequency-division-multiplexing (OFDM) has been actively pursued in underwater acoustic communications. However, carrier frequency offset (CFO) can cause significant performance degradation in OFDM systems. Although underwater acoustic communication was recently the focus of research, literatures about joint interference mitigation with channel estimation using compressed sensing (CS) has been very limited in underwater acoustic OFDM. In the Cyclic prefix orthogonal frequency division multiplexing (CP-OFDM) system, a novel method was proposed which combined interference mitigation with channel estimation based on compressed sensing (CS).The novel joint optimization model combined CFO estimation with CS-based channel estimation based on the sparse in the delay-Doppler domain by using the null sub-carriers. Simulations and tank experiments have verified the performance of the receiver based on the joint interference mitigation and CS channel estimation. This method enables the OFDM system is effective against the CFO, and has better robustness. DOI: http://dx.doi.org/10.11591/telkomnika.v11i12.2883

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