IEEE Communications Letters · 2014 · 42 citations · 13 references
EngineeringCommunicationElectrical EngineeringDigital CommunicationInformation TheoryWireless CommunicationsChannel CodingChannel EstimationChannel Performance AnalysisCoding TheoryDigital Signal ProcessingError-correcting CodesBlind Channel EstimationCumulative Distribution FunctionsEmpirical Cumulative Distribution FunctionKolmogorov - Smirnov TestMultiplexingNoise StatisticsSpace-time Block CodesSpatial Multiplexing
A novel algorithm for blind identification of spatial multiplexing and Alamouti space-time block code is proposed in this paper. It relies on the Kolmogrov-Smirnov test, and employs the maximum distance between the empirical cumulative distribution functions of two statistics derived from the received signal. The proposed algorithm does not require estimation of the channel coefficients, noise statistics and modulation type, and is robust to the carrier frequency offset and impulsive noise. Additionally, it outperforms the algorithms in the literature under a variety of transmission impairments.
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