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METHOD FOR ESTIMATING COVARIANCE MATRICES AND USE THEREOF

  • US 20150131758A1
  • Filed: 11/12/2013
  • Published: 05/14/2015
  • Est. Priority Date: 11/12/2013
  • Status: Active Grant
First Claim
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1. An iterative method for estimating covariance matrices of communication signals in a wireless communication system, wherein communication signals in the wireless communication system include reference symbols and data symbols;

  • the method comprising;

    receiving a communication signal transmitted over a radio channel, the received communication signal comprising at least one designated communication signal intended for a receiver node and one or more interfering communication signals;

    the method comprising;

    a) computing a reference symbol covariance matrix estimate custom-character (k,l) based on reference symbols in the received communication signal wherein k is an integer and wherein l is an integer;

    b) inputting said reference symbol covariance matrix estimate custom-character (k,l) to a detector or a decoder to obtain a demodulated or decoded communication signal in a first iteration step, and thereafter inputting a covariance matrix estimate output to the detector or the decoder in subsequent iteration steps to obtain an updated demodulated or decoded communication signal for each iteration;

    c) inputting the demodulated or decoded communication signal to a symbol generator to obtain a regenerated communication signal;

    d) computing an updated data covariance matrix estimate custom-character (k,l) for each iteration based on data symbols of said regenerated communication signal;

    e) combining said reference symbol covariance matrix estimate custom-character (k,l) and said updated data covariance matrix estimate custom-character (k,l) to obtain the covariance matrix estimate output based on said combined covariance matrix estimate; and

    f) forwarding said covariance matrix estimate output to the detector or decoder in b) to obtain the updated demodulated or decoded communication signal for each iteration,the method further comprising;

    filtering said reference symbol covariance matrix estimate custom-character (k,l) and said updated data covariance matrix estimate custom-character (k,l) over a filtering window, the filtering window defining a set of resource blocks (RBs), or resource elements REs wherein each RB includes a plurality of REs.

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