The finite-length multi-input multi-output MMSE-DFE

By Naofal Al-Dhahir, Ali H. Sayed. IEEE Transactions on Signal Processing, 2000

350 citations recorded by the source corpus.

A new theoretical framework is introduced for analyzing the performance of a finite length minimum-mean-square error decision feedback equalizer (MMSE-DFE) in a multi-input multi-output (MIMO) environment. The framework includes transmit and receive diversity systems as special cases and quantifies the diversity performance improvement as a function of the number of transmit/receive antennas and equalizer taps. Fast and parallelizable algorithms for computing the finite-length MIMO MMSE-DFE are presented for three common multi-user detection scenarios.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/057c90abdcb0f0d1d1a8b054919badf0b40618b1

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In Computer Networks and Communications

In Electrical and Electronic Engineering

Citations in the corpus

OFDM or single-carrier block transmissions? (2004, background): “The reason is that CFO introduces both ICI as well as reduction of the useful signal amplitude in OFDM, while ZP-only suffers only from the latter, which has a smaller effect than the former.”
Multi-input multi-output fading channel tracking and equalization using Kalman estimation (2002, methodology): “The design of the optimum MMSE feedforward and feedback matrix filtersWopt andBopt of lengthsNf andNb matrix taps respectively, as well as the optimum selection of the delay for any(nT ; nR) system is solved in [10] and will not be repeated here.”
Single-carrier frequency domain equalization (2008, neutral): “IEEE SIGNAL PROCESSING MAGAZINE [40] SEPTEMBER 2008”
Precoding in multiantenna and multiuser communications (2004, methodology): “The disadvantage of linear equalization at the receiver side can be overcome by spatial or matrix DFE [44], [11], [1], which is also used [27] in the (V-)BLAST [23], [25], [43] system for multiantenna transmission.”
Space-time diversity systems based on linear constellation precoding (2003, methodology): “The first, sphere decoding (SD), is used to approximate the ML performance at a polynomial (but still relatively high) complexity, while the other alternatives, Vertical Bell-Labs Layered ST (V-BLAST) [13] or block minimum mean-square error decision-feedback equalization (BMMSE-DFE) [2], [25], are u”