Channel coding for underwater acoustic single-carrier CDMA communication system

Lanjun Liu; Yonglei Zhang; Pengcheng Zhang; Lin Zhou; Jiong Niu

doi:10.1117/12.2265470

23 January 2017 Channel coding for underwater acoustic single-carrier CDMA communication system

Lanjun Liu, Yonglei Zhang, Pengcheng Zhang, Lin Zhou, Jiong Niu

Proceedings Volume 10322, Seventh International Conference on Electronics and Information Engineering; 103222S (2017) https://doi.org/10.1117/12.2265470
Event: Seventh International Conference on Electronics and Information Engineering, 2016, Nanjing, China

Abstract

CDMA is an effective multiple access protocol for underwater acoustic networks, and channel coding can effectively reduce the bit error rate (BER) of the underwater acoustic communication system. For the requirements of underwater acoustic mobile networks based on CDMA, an underwater acoustic single-carrier CDMA communication system (UWA/SCCDMA) based on the direct-sequence spread spectrum is proposed, and its channel coding scheme is studied based on convolution, RA, Turbo and LDPC coding respectively. The implementation steps of the Viterbi algorithm of convolutional coding, BP and minimum sum algorithms of RA coding, Log-MAP and SOVA algorithms of Turbo coding, and sum-product algorithm of LDPC coding are given. An UWA/SCCDMA simulation system based on Matlab is designed. Simulation results show that the UWA/SCCDMA based on RA, Turbo and LDPC coding have good performance such that the communication BER is all less than 10-6 in the underwater acoustic channel with low signal to noise ratio (SNR) from -12 dB to -10dB, which is about 2 orders of magnitude lower than that of the convolutional coding. The system based on Turbo coding with Log-MAP algorithm has the best performance.

Citation Download Citation

Lanjun Liu, Yonglei Zhang, Pengcheng Zhang, Lin Zhou, and Jiong Niu "Channel coding for underwater acoustic single-carrier CDMA communication system", Proc. SPIE 10322, Seventh International Conference on Electronics and Information Engineering, 103222S (23 January 2017); https://doi.org/10.1117/12.2265470

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available