文件列表:

PARAFAC_MIMO (0, 2007-10-05)
PARAFAC_MIMO\allign3.m (769, 2007-10-05)
PARAFAC_MIMO\comfac.m (21910, 2004-11-30)
PARAFAC_MIMO\ComputeISPD3rd.m (4982, 2007-10-05)
PARAFAC_MIMO\ComputeISPD4th.m (5329, 2007-10-05)
PARAFAC_MIMO\CUM2X.M (3133, 2000-12-28)
PARAFAC_MIMO\CUM4X.M (5743, 2005-10-20)
PARAFAC_MIMO\estCorr.m (2654, 2007-10-05)
PARAFAC_MIMO\estCum1.m (5520, 2006-03-03)
PARAFAC_MIMO\estTris4.m (5503, 2007-10-05)
PARAFAC_MIMO\g_cc3_matrix.m (2024, 2004-11-29)
PARAFAC_MIMO\g_cc4_3D.m (6644, 2006-03-05)
PARAFAC_MIMO\ISPD4th.m (5003, 2007-10-05)
PARAFAC_MIMO\ISPDmain.m (4656, 2007-10-05)
PARAFAC_MIMO\krp.m (286, 2007-10-05)
PARAFAC_MIMO\QALS.m (2271, 2006-10-05)
PARAFAC_MIMO\QAM.m (764, 2005-09-27)
PARAFAC_MIMO\rcos.m (298, 2007-10-05)
PARAFAC_MIMO\relign4.m (1056, 2007-10-05)
PARAFAC_MIMO\true_cum3.m (1301, 2004-11-29)
PARAFAC_MIMO\true_cum4_3D.m (1479, 2001-04-03)

Blind Identification of possibly under-determined convolutive MIMO systems Communications and Signal Processing Laboratory ECE Department, Drexel University Philadelphia, PA 19104, USA Oct, 2007 http://www.ece.drexel.edu/CSPL ______________________________________________________________________________ Introduction: This package contains the MATLAB code for the algorithm proposed in the following papers. The goal of this Matlab script is to identify a possibly under-determined convolutive MIMO system with multiple independent inputs and additive Gaussian noise. This code will plot the blind estimation results using figures. This folder contains the following matlab functions: ISPDmain, is the main function for the 3rd order ISPD method, which runs Monte-Carlo runs for different channels, as well as different SNR. ISPD4th, is the main function for the 4th order ISPD method, which runs Monte-Carlo runs for different channels, as well as different SNR. 1.function [A,B,C,FIT,IT]=comfac(X,Fac,Options,DoComp,CompIt,Init); %COMFAC Algorithm for fitting the complex-valued PARAFAC model The code is downloaded from http://www.models.kvl.dk/users/rasmus/presentations/comfac/index.htm 2. function [cum] = g_cc4_3D(signal_1,signal_2,signal_3,signal_4,C_LENGTH) % This function generate the fourth order cross cumulant of 4 signals The code is wrote by Binning Chen, avalable at http://www.ece.drexel.edu/CSPL 3. function y_cum = cum4x (w,x,y,z, maxlag, nsamp, overlap, flag, k1, k2) %CUM4X Fourth-order cross-cumulants The code is wrote by A. Swami 4. function [bis, bis_true, bis_true1]=estCum1(NF,Le,x,h,H) % This function only calculates the true and estimated % third order cumulant and bispectrum 5. function [Tris,Tris_true]=estTris4(NF,Le,k2,k3,x,n,h,H) % This function only calculates the true and estimated % Fourth order cumulant and tripectrum 6.function [h_est]=ComputeISPD4th(real_channel,draw_fig,NF,L_diff,k2,k3,Tris,h,H,N) %%%%% This function calculate the estimated MIMO channel gain for given %%%%% Trispectrum and other coefficients 7. function [h_est]=ComputeISPD3rd(real_channel,draw_fig,NF,L_diff,Bis,h,H,N,delta,R) %%%%% This function calculate the estimated MIMO channel gain for given %%%%% Bispectrum and other coefficients 8. function [AkrpB] = krp(A,B); %%%% calculate the khatri-rao product of A and B 9. function y = rcos(x,alpha,T); % raised cosine pulse genaration 10.function q=QAM(N,L,seed1,seed2) % FUNCTION q = QAM(N,L); % ----------------- % Generates L-QAM complex sequences Xr(n)+jXi(n) 11.function [PERM]=allign3(estC2,estC0,n) %%% solve for the permutation ambiguioty between two PARAFAC iteration 12.function [H_est_even,h_est]=relign4(N, F, h, real_channel, L_diff, delta) %%%% Recover the time domain channel from the frequency domain estimates 13. function [cum3_true] = True_cum3(h1,h2,h3,cum_length) % True_cum3.M % Calculate the True third order cumulant of three system driven by the same % white input. The code is wrote by Binning Chen, avalable at http://www.ece.drexel.edu/CSPL 14.function [cum4_3_true] = true_cum4_3D(h1,h2,h3,h4,cum_length) % True_cum4_3D.M % Calculate the True fourth order cumulant of three system driven by the same % white input. The code is wrote by Binning Chen, avalable at http://www.ece.drexel.edu/CSPL 15. function [cx] = g_cc3_matrix(signal_1,signal_2,signal_3,C_LENGTH) % g_cc3_matrix.m % This function generate the third order cross cumulant of 3 signals The code is wrote by Binning Chen, avalable at http://www.ece.drexel.edu/CSPL 16.function [A,B,C,D]=QALS(X,F,A,B,C,D); % Plain Vanilla Quadrilinear ALS % X = IxJxKxL rank-F 4-way array % Nikos Sidiropoulos 17.function y_cum = cum2x (x,y, maxlag, nsamp, overlap, flag) %CUM2X Cross-covariance The code is wrote by A. Swami ---------------------------------------------------------------------------------- Last Updated: Thursday, Oct 4, 2007 1. Y. Yu, and A.P. Petropulu, °PARAFAC Based Blind Estimation Of Possibly Under-determined Convolutive MIMO Systems,± IEEE Trans. on Signal Processing, accepted in 2007 2. T. Acar, Y. Yu, and A.P. Petropulu, °Blind MIMO system estimation based on PARAFAC decomposition of tensors formed based HOS of the system output,± IEEE Trans. on Signal Processing, Vol. 54, Nov. 2006. 3. Y. Yu, and A.P. Petropulu; °Reduced Complexity Blind Estimation of Under-Determined Convolutive MIMO Systems± IEEE 12th Digital Signal Processing Workshop Page(s):239 ¨C 244, Sep. 2006 4. Y. Yu, and A.P. Petropulu, °PARAFAC Based Blind Estimation of MIMO Systems with possibly more inputs than outputs±, IEEE International Conf on Acoustics, Speech and Signal Processing, Toulouse, France, May, 2006. 5. Y. Yu and A.P. Petropulu, °Blind Estimation Of A Class Of Under-Determined Convolutive MIMO Systems Using Parafac Decomposition Of Output Tensors±, IEEE 40th Annual Conference on Information Sciences and Systems, Princeton, NJ, March 2006. 6. Y. Yu and A.P. Petropulu, °Improved Single PARAFAC Decomposition based Blind MIMO Systems Estimation±, The 5th IEEE Symposium on Signal Processing and Information Technology, Athens, Greece, December, 2005 7. Y. Yu, and A.P. Petropulu, °Improved PARAFAC based Blind MIMO system estimation,± IEEE Thirty-Ninth Annual Asilomar Conference on Signal, Systems, and Computers, Pacific Grove, CA, USA, Oct 2005 8. Y. Yu, and A.P. Petropulu, °Blind MIMO system estimation based on PARAFAC decomposition of HOS tensors,± IEEE Workshop on Statistical Signal Processing, Bordeaux, France, July,2005.

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