DocumentCode
1884109
Title
Second order cone optimized underwater acoustic channel frequency domain equalization
Author
Zhang Lingling ; Tang Chengkai ; He Chengbing ; Huang Jianguo
Author_Institution
Coll. of Marine Eng., Northwestern Polytech. Univ., Xi´an, China
fYear
2012
fDate
12-15 Aug. 2012
Firstpage
696
Lastpage
699
Abstract
Underwater acoustic channel is assumed to be one of the most challenging communication channels because of its variable multipath effect. To reduce the receiver complexity, we proposed a second order cone optimized underwater acoustic channel frequency domain equalization (SOC-UAFDE), which adjust the equalization coefficients by minimum the mean square error of the frequency domain equalization algorithm through second order cone programming. Meanwhile, to avoid the high peak to average power ratio in orthogonal frequency division multiplexing(OFDM) communication, single carrier block transmission based on pseudo noise(PN) extension is adopted, which shows great advantage in synchronization and channel estimation. Simulation result shows that the proposed algorithm speeds up the convergence and reduces the bit error ratio(BER) effectively.
Keywords
channel estimation; equalisers; error statistics; mean square error methods; synchronisation; underwater acoustic communication; BER; OFDM communication; SOC-UAFDE; bit error ratio; channel estimation; equalization coefficients; frequency domain equalization algorithm; mean square error; orthogonal frequency division multiplexing; peak to average power ratio; pseudo noise extension; second order cone optimized underwater acoustic channel; second order cone programming; single carrier block transmission; synchronization; underwater acoustic channel frequency domain equalization; variable multipath effect; Channel estimation; Complexity theory; Constellation diagram; Frequency domain analysis; OFDM; Underwater acoustics; Frequency Domain Equalization; PN Extension; Second Order Cone Optimization; Single Carrier Modulation; Underwater Acoustic Communication;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing, Communication and Computing (ICSPCC), 2012 IEEE International Conference on
Conference_Location
Hong Kong
Print_ISBN
978-1-4673-2192-1
Type
conf
DOI
10.1109/ICSPCC.2012.6335710
Filename
6335710
Link To Document