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FIR ChannelShortening Equalizers for MIMO ISI Channels \Lambda Naofal AlDhahir y
 

Summary: FIR Channel­Shortening Equalizers for MIMO ISI Channels \Lambda
Naofal Al­Dhahir y
Keywords : FIR digital filters, Equalizers, MIMO Systems, Mean square error methods
Abstract
Finite--length delay--optimized multi--input multi--output (MIMO) equalizers that optimally
shorten the impulse response memory of frequency--selective MIMO channels are derived. The
MIMO equalizers are designed to minimize the average energy of the error sequence between the
equalized MIMO channel impulse response (CIR) and a MIMO target impulse response (TIR)
with shorter memory. Two criteria for optimizing the MIMO TIR are analyzed and compared.
The presented analytical framework encompasses a multitude of previously--studied finite--length
equalization techniques.
1 Introduction
The combination of maximum likelihood sequence estimation (MLSE) with receiver diversity is an effec­
tive technique for achieving high performance over noisy frequency--selective fading channels impaired
by co--channel interference [8, 14, 16, 15, 7]. With the addition of transmitter diversity, the resulting
multi--input multi--output (MIMO) frequency--selective channel was shown [9, 10] to have a significantly
higher capacity than its single--input multi--output (SIMO) or single--input single--output (SISO) coun­
terparts. The use of maximum likelihood multi--user detections techniques on these frequency--selective
MIMO channels significantly outperforms single--user detection techniques that treat signals from other
users as colored noise. However, MLSE complexity increases exponentially with the number of inputs

  

Source: Al-Dhahir, Naofal - Department of Electrical Engineering, University of Texas at Dallas

 

Collections: Engineering