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48 lines
1.6 KiB
48 lines
1.6 KiB
function [y, csi] = helperSymbolEqualize(x,chanEst,varargin)
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%helperSymbolEqualize MIMO frequency domain channel equalization
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%
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% [Y,CSI] = helperSymbolEqualize(X,CHANEST,NOISEVAR) performs
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% minimum-mean-square-error (MMSE) frequency domain equalization using
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% the signal input X, the channel estimate, CHANEST, and noise variance,
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% NOISEVAR.
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%
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% Y is an estimate of the transmitted frequency domain signal and is of
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% size Nsd-by-Nsym-by-Nsts, where Nsd represents the number of carriers
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% (frequency domain), Nsym represents the number of symbols (time
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% domain), and Nsts represents the number of space-time streams (spatial
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% domain). It is complex when either X or CHANEST is complex, or is real
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% otherwise.
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%
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% CSI is a real matrix of size Nsd-by-Nsts containing the soft channel
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% state information.
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%
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% X is a real or complex array containing the frequency domain signal to
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% equalize. It is of size Nsd-by-Nsym-by-Nr, where Nr represents the
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% number of receive antennas.
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%
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% CHANEST is a real or complex array containing the channel estimates for
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% each carrier and symbol. It is of size Nsd-by-Nsts-by-Nr.
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%
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% NOISEVAR is a nonnegative scalar representing the noise variance.
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%
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% [Y,CSI] = helperSymbolEqualize(X,CHANEST) performs zero-forcing (ZF)
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% equalization.
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% Copyright 2017 The MathWorks, Inc.
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%#codegen
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% Input validation
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narginchk(2,3);
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if nargin==2
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eqMethod = 'ZF';
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noiseVarEst = 0;
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else
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eqMethod = 'MMSE';
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noiseVarEst = varargin{1};
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end
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[y,csi] = wlan.internal.wlanEqualize(x,chanEst,eqMethod,noiseVarEst);
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end
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