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http://dx.doi.org/10.5394/KINPR.2017.41.4.173

An Efficient Receiver Structure Based on PN Performance in Underwater Acoustic Communications  

Baek, Chang-Uk (Department of Radio Communication Engineering, Korea Maritime and Ocean University)
Jung, Ji-Won (Department of Radio Communication Engineering, Korea Maritime and Ocean University)
Publication Information
Journal of Navigation and Port Research / v.41, no.4, 2017 , pp. 173-180 More about this Journal
Abstract
Underwater communications are degraded as a result of inter symbol interference in multipath channels. Therefore, a channel coding scheme is essential for underwater communications. Packets consist of a PN sequence and a data field, and the uncoded PN sequence is used to estimate the frequency and phase offset using a Doppler and phase estimation algorithm. The estimated frequency and phase offset are fed to a coded data field to compensate for the Doppler and phase offset. The PN sequence is generally utilized to acquire the synchronization information, and the bit error rate of an uncoded PN sequence predicts the performance of the coded data field. To ensure few errors, we resort to powerful BCJR decoding algorithms of convolutional codes with rates of 1/2, 2/3, and 3/4. We use this powerful channel coding algorithm to present an efficient receiver structure based on the relation between the bit error of the uncoded PN sequence and coded data field in computer simulations and lake experiments.
Keywords
Underwater Communication; Multipath; PN Code Performance; Error Rate; Channel Coding;
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1 Bahl, L., Cocke, J., Jelinek, F., and Raviv, J.(1974), "Optimal Decoding of Linear Codes for minimizing symbol error rate.", IEEE Transactions on Information Theory, Vol. IT-20, No. 2, pp. 284-287.
2 Berberdis, K., Rontogiannis, T., and Theodoridis, S.(1997), "Efficient block implementation of the LMS-based DFE.", Proceedings 13th Digital Signal Processing International Conference, Vol. 1., pp. 143-146.
3 Cain, J. B., Clark Jr, G. C., and Geist, J. M.(1979), "Punctured convolutional codes of rate (n-1)/n and simplified maximum likelihood decoding.", IEEE Trans. Inform. Theory, Vol. IT-25, No. 1, pp. 97-100.
4 Haccoun, D. and Begin, G.(1989), "High-rate punctured convolutional codes for Viterbi and sequential decoding.", IEEE Trans. Communication, Vol. 37, No. 11, pp. 1113-1125.   DOI
5 Kilfoyle, D. B., and Baggeroer, A. B.(2000), "The state of the art in underwater acoustic telemetry." IEEE J. Oceanic Eng. Vol. 25, pp. 4-27.   DOI
6 Salz, J.(1973), "Optimum Mean-Square Decision Feedback Equalization.", Bell System Technical Journal Vol. 52, No. 8 pp. 1341-1373.   DOI
7 Stojanovic, M., Catipovic, J., and Proakis, J.(1994), "Phase coherent digital communications for underwater acoustic channels.", IEEE J. Ocean. Eng., Vol. 19, No. 1, pp. 100-111.   DOI
8 Tuchler, M., Ralf, K., and Andrew, C. S.(2002), "Turbo equalization: principles and new results.", IEEE Trans. Communications, Vol. 50, No. 5, pp. 754-767.   DOI
9 Walree, P. V.(2011), "Channel sounding for acoustic communications: techniques and shallow-water examples.", Norwegian Defence Research Establishment (FFI), Tech. Rep.