WASET
	@article{(Open Science Index):https://publications.waset.org/pdf/3678,
	  title     = {Optimal Channel Equalization for MIMO Time-Varying Channels},
	  author    = {Ehab F. Badran and  Guoxiang Gu},
	  country	= {},
	  institution	= {},
	  abstract     = {We consider optimal channel equalization for MIMO
(multi-input/multi-output) time-varying channels in the sense of
MMSE (minimum mean-squared-error), where the observation noise
can be non-stationary. We show that all ZF (zero-forcing) receivers
can be parameterized in an affine form which eliminates completely
the ISI (inter-symbol-interference), and optimal channel equalizers
can be designed through minimization of the MSE (mean-squarederror)
between the detected signals and the transmitted signals,
among all ZF receivers. We demonstrate that the optimal channel
equalizer is a modified Kalman filter, and show that under the AWGN
(additive white Gaussian noise) assumption, the proposed optimal
channel equalizer minimizes the BER (bit error rate) among all
possible ZF receivers. Our results are applicable to optimal channel
equalization for DWMT (discrete wavelet multitone), multirate transmultiplexers,
OFDM (orthogonal frequency division multiplexing),
and DS (direct sequence) CDMA (code division multiple access)
wireless data communication systems. A design algorithm for optimal
channel equalization is developed, and several simulation examples
are worked out to illustrate the proposed design algorithm.},
	    journal   = {International Journal of Electronics and Communication Engineering},
	  volume    = {2},
	  number    = {11},
	  year      = {2008},
	  pages     = {2539 - 2546},
	  ee        = {https://publications.waset.org/pdf/3678},
	  url   	= {https://publications.waset.org/vol/23},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 23, 2008},
	}