DocumentCode
2917246
Title
An improved direct adaptive multichannel turbo equalization scheme for underwater communications
Author
Qingwei, Meng ; Jianguo, Huang ; Jing, Han ; Chengbing, He ; Chuang, Ma
Author_Institution
Coll. of Marine Eng., Northwestern Polytech. Univ., Xi´´an, China
fYear
2012
fDate
21-24 May 2012
Firstpage
1
Lastpage
5
Abstract
An improved direct adaptive multi-channel turbo equalization receiver structure employing adaptive Doppler compensation is proposed for wireless communications over sparse underwater acoustic (UWA) channels. Compared to existing direct adaptive turbo equalization schemes that have been used for underwater communications, two novel techniques are employed to improve the overall system performance: 1) the extrinsic log likelihood ratio (LLR) output by the equalizer, and exchanged between the turbo equalizer and decoder is calculated by taking into account the a prior probability of the symbol constellation other than assuming equal probability, 2) improved proportionate normalized least-mean-square (IPNLMS) algorithm that can take advantage of the sparsity inherent in underwater acoustic channel is utilized to update the coefficients of the multi-channel turbo equalizer. Lake experiments results show that the proposed scheme can achieve 2kbps error-free data transmission in 1.8km range, 2kHz bandwidth with a carrier frequency of 9kHz, and obviously outperform the existing direct adaptive turbo schemes for underwater communications in convergence rate and bit error rate (BER).
Keywords
Doppler effect; adaptive equalisers; data communication; decoding; error statistics; least mean squares methods; turbo codes; underwater acoustic communication; wireless channels; BER; IPNLMS algorithm; LLR; UWA channels; a prior probability; adaptive Doppler compensation; bandwidth 2 kHz; bit error rate; bit rate 2 kbit/s; carrier frequency; convergence rate; error-free data transmission; frequency 9 kHz; improved direct adaptive multichannel turbo equalization receiver structure; improved proportional normalized least-mean-square algorithm; log likelihood ratio; sparse underwater acoustic channels; symbol constellation; turbo decoder; underwater communications; wireless communications; Adaptive equalizers; Bit error rate; Receivers; Underwater acoustics; Underwater communication; Vectors; IPNLMS; MAP decoding; direct adaptive turbo equalization; underwater communications;
fLanguage
English
Publisher
ieee
Conference_Titel
OCEANS, 2012 - Yeosu
Conference_Location
Yeosu
Print_ISBN
978-1-4577-2089-5
Type
conf
DOI
10.1109/OCEANS-Yeosu.2012.6263623
Filename
6263623
Link To Document