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Parameter Estimation of the Direct Sequence Spread Spectrum Signal Based on Time-Smoothing Cyclic Periodogram
Abstract:
The direct sequence spread spectrum (DS-SS) signal is a typical kind of LPI signals widely-used in the modern digital communication system, and it is difficult to be detected for its statistical characteristic similar to noise. An algorithm for estimating the code rate, carrier frequency of DS-SS signals was proposed using time-smoothing cyclic periodogram instead of cyclic spectrum according to cyclostationary feature of DS-SS signal to improve the precision of parameter estimation. The estimation performance was analyzed for the cyclic spectrum by time-smoothing cyclic periodogram from the tapering points in the case of limited data length. Simulation results showed that the proposed algorithm is effective.
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181-185
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Online since:
August 2012
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© 2012 Trans Tech Publications Ltd. All Rights Reserved
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