METHOD FOR ESTIMATING COVARIANCE MATRICES AND USE THEREOF

摘要

The present disclosure relates to an iterative method for estimating covariance matrices of communication signals comprising a) computing a reference symbol covariance matrix estimate (k,l); b) inputting said reference symbol covariance matrix estimate (k,l) to a detector or a decoder in a first iteration, and thereafter inputting the covariance matrix estimate output from e) to the detector or the decoder in subsequent iterations to obtain an updated demodulated or decoded communication signal for each iteration; c) inputting the demodulated or decoded communication signal to a symbol generator; d) computing an updated data covariance matrix estimate (k,l) for each iteration based on data symbols of said regenerated communication signal; e) combining said reference symbol covariance matrix estimate (k,l) and said updated data covariance matrix estimate (k,l); 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.

主权项

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 (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 (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 (k,l) for each iteration based on data symbols of said regenerated communication signal; e) combining said reference symbol covariance matrix estimate (k,l) and said updated data covariance matrix estimate (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 (k,l) and said updated data covariance matrix estimate (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.