Jie Zhang, K. Max Wong and Timothy N. Davidson.
Blind adaptive space-time processing of cyclostationary signals.
Technical Report, Department of Electrical and Computer Engineering,
McMaster University, July 2001.
In this paper we present a blind adaptive space-time processing algorithm for separating signals which are spectrally and/or spatially overlapped. The algorithm exploits the cyclostationary nature of many communication signals, but does not require knowledge of the statistical properties of the desired signal. It merely requires knowledge of a (distinct) cycle frequency. It is shown that the performance of the algorithm converges at a rate $O(1/N)$, where $N$ is the number of received samples, to the performance of the optimal (trained) receiver with the given structure. Furthermore, we provide an (algebraic) analysis of the performance of a multiuser communication system which employs our receiver, and confirm this result in simulation examples. These examples demonstrate that our cyclic adaptive space-time processor is an attractive alternative to beamforming or filtering alone.
The report is available as a pdf file
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