46 lines
1.6 KiB
Mathematica
46 lines
1.6 KiB
Mathematica
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function [y,csi] = preHESymbolEqualize(x,chanEst,noiseVar,varargin)
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%preHESymbolEqualize Pre-HE fields frequency domain channel equalization
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%
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% [Y,CSI] = preHESymbolEqualize(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 Nst-by-Nsym, where Nst represents the number of carriers
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% (frequency domain) and Nsym represents the number of symbols (time
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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 Nst-by-Nr 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 Nst-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. It is of size Nst-by-1-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] = preHESymbolEqualize(...,NUMSUBCHANNELS) merged demodulated
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% symbols and channel estimates for each subchannel before equalization.
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% Copyright 2018-2020 The MathWorks, Inc.
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%#codegen
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if nargin>3
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numSubchannels = varargin{1};
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else
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numSubchannels = 1;
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end
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% Treat each 20 MHz subchannel as a receive antennas for diversity
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[symMerge,chanMerge] = wlan.internal.mergeSubchannels(x,chanEst,numSubchannels);
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% Equalize
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[y,csi] = helperSymbolEqualize(symMerge,chanMerge,noiseVar);
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end
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