Abstract
A new technique for synchronization of direct sequence spread spectrum (DSSS) signals is presented. This technique exploits the eigenstructure of a frequency-channelized DSSS signal to directly estimate the underlying spreading code. The synchronous estimate of the spreading code steadily improves with the increase in the collected data. In this paper, the algorithm used for estimating the spreading code is derived. It is shown that under infinite time-average assumptions, a perfect code estimate can be obtained when the signal is received in arbitrary levels of white background noise. The only requirements are that the spreading code must truly multiply the message signal, the code must have a constant modulus, and the message and code repetition rates must be practically incommensurate. It is shown that the technique is insensitive to frequency offsets on the received signal that are integer multiples of the code repetition rate. The technique is also shown to exploit multipath.
This work was sponsored by Virginia’s Center for Innovative Technology and the Research Center for Excellence project from the Federal Highway Administration.
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References
R. E. Ziemer and R. L. Peterson, Digital Communications and Spread Spectrum Systems. New York: Macmillan Publishing Company, 1985.
M. K. Simon, J. K. Omura, R. A. Scholtz, and B. K. Levitt, Spread Spectrum Communications Handbook. New York: McGraw Hill, revised ed., 1994.
S. S. Rappaport and D. M. Grieco, “Spread-spectrum signal acquisition: Methods and technology,” IEEE Communications Magazine, vol. 22, pp. 6–21, June 1984.
B. G. Agee, “Blind despreading of PNSS signals using the constant modulus algorithm.” Tech. Report no. AGI-88-09, AGI engineering Consulting, Woodland, CA, September 1988.
N. R. Mangalvedhe and J. H. Reed, “An eigenstructure technique for soft synchronization of DSSS signals,” in Proceedings of ICASSP, 1996.
N. R. Mangalvedhe and J. H. Reed, “Evaluation of a soft synchronization technique for DSSS signals.” To appear in the J. Sel. Areas Commun., Special Issue on CDMA Networks III, October 1996.
C. D. Greene, J. H. Reed, and T. C. Hsia, “An optimal receiver using a time-dependent adaptive filter,” in Proceedings of IEEE MILCOM, 1989.
J. H. Reed, C. D. Greene, and T. C. Hsia, “Demodulation of a direct-sequence spread spectrum signal using an optimal time-dependent filter,” in Proceedings of IEEE MILCOM, 1989.
W. A. Gardner, ed., Cyclostationarity in Communications and Signal Processing. New York: IEEE Press, 1994.
W. A. Gardner, Statistical Spectral Analysis: A Nonprobabilistic Theory. Englewood Cliffs, NJ: Prentice Hall, 1988.
N. R. Mangalvedhe, “An Eigenstructure Technique for Direct Sequence Spread Spectrum Synchronization,” Master’s thesis, Virginia Polytechnic Institute and State University, 1995.
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Mangalvedhe, N.R., Reed, J.H. (1997). Analysis of an Eigenstructure Technique for DSSS Synchronization. In: Reed, J.H., Rappaport, T.S., Woerner, B.D. (eds) Wireless Personal Communications. The Springer International Series in Engineering and Computer Science, vol 377. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-6237-5_19
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DOI: https://doi.org/10.1007/978-1-4615-6237-5_19
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