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Peter Olsovsky
Peter Podhoransky



Author(s) and WSEAS

Peter Olsovsky
Peter Podhoransky


WSEAS Transactions on Communications


Print ISSN: 1109-2742
E-ISSN: 2224-2864

Volume 16, 2017

Notice: As of 2014 and for the forthcoming years, the publication frequency/periodicity of WSEAS Journals is adapted to the 'continuously updated' model. What this means is that instead of being separated into issues, new papers will be added on a continuous basis, allowing a more regular flow and shorter publication times. The papers will appear in reverse order, therefore the most recent one will be on top.



Design and Analysis of a Modified Algorithm for the Maximum Likelihood Parallel Search Technique for DSSS Signals

AUTHORS: Peter Olsovsky, Peter Podhoransky

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ABSTRACT: This paper investigates the problems of pseudorandom noise (PN) code acquisition techniques in direct-sequence code division multiple access (DS-CDMA) communication systems. PN code acquisition (or PN code synchronization) is the most essential first-stage processing in a DS-CDMA receiver. To speed up the multiple access process, initial synchronization should be performed in minimal time. PN code acquisition refers to the operation of synchronizing the locally generated PN code with the received PN code within one chip interval, beyond which the tracking process takes charge. This paper presents the interesting characteristics of effective PN code acquisition techniques for DS-CDMA systems. The techniques described in this paper are generally capable of determining the received PN code phase to within an accuracy of ±1 ⁄ 2 to ±1 ⁄ 4 of a chip. The aim of this paper is to propose the modified algorithm for parallel search realization of the maximum likelihood search technique for direct-sequence spread spectrum (DSSS) signals in MATLAB. In addition, the universal autonomous algorithm in MATLAB for PN code generation using a linear feedback shift register is proposed.

KEYWORDS: Direct-Sequence Code Division Multiple Access (DS-CDMA), Synchronization, PN Code Acquisition, Search Techniques, MATLAB

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[4] R.B. Ward and K.P. Yiu, “Acquisition of pseudonoise signals by recursion-aided sequential estimation,” IEEE Transactions on Communications, vol. 25, no. 8, 1977, pp. 784- 794.

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[6] W.W.S. Jibrail and H.M. Al-Zubiady, “Search strategies for the acquisition of DS spread spectrum signals,” International Journal of Electronics, vol. 84, no. 2, 1998, pp. 83-104.

[7] W.W.S. Jibrail, A. van der Meer, and R. Liyanapathirana, “Performance evaluation of serial-search strategies for the acquisition of DS/CDMA signals,” International Journal of Communication Systems, vol. 16, no. 10, 2003, pp. 865-875.

[8] M.K. Simon, J.K. Omura, R.A. Scholtz, and B.K. Levitt, Spread Spectrum Communications Handbook, Revised Edition, McGraw-Hill, 1994.

[9] R.C. Dixon, Spread Spectrum Systems with Commercial Applications, 3rd ed., John Wiley & Sons, 1994.

[10] B.G. Lee and B-H. Kim, Scrambling Techniques for CDMA Communications, Kluwer Academic Publishers, 2002.

[11] K.K. Chawla and D.V. Sarwate, “Parallel acquisition of PN sequences in DS/SS systems,” IEEE Transactions on Communications, vol. 42, no. 5, 1994, pp. 2155-2164.

WSEAS Transactions on Communications, ISSN / E-ISSN: 1109-2742 / 2224-2864, Volume 16, 2017, Art. #46, pp. 412-420


Copyright © 2017 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution License 4.0

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