Results 121 to 130 of about 257 (174)

MMSE decision-feedback equalizers: finite-length results

IEEE Transactions on Information Theory, 1995
Summary: This paper extends a number of results on the infinite-length minimum- mean-square-error decision feedback equalizer (MMSE-DFE) reported in [\textit{J. Cioffi}, \textit{G. Dudevoir}, \textit{M. Eyuboglu} and \textit{G. D. Forney} jun., ``Minimum mean-square-error decision feedback equalization and coding. I and II.'' IEEE Trans. Commun.
N Al-Dhahir, J M Cioffi
exaly   +4 more sources

A matched filter approximation for SC/MMSE iterative equalizers

IEEE Communications Letters, 2001
This letter proposes a new iterative ISI equalization algorithm that offers low computational complexity: order L/sup 2/ with channel memory length L. The proposed algorithm is an extension of Reynolds and Wang's SC/MMSE (soft canceler followed by MMSE filter) equalizer: approximations are used properly to reduce the computational complexity.
T Asai
exaly   +3 more sources

Performance analysis of ZF and MMSE equalizers for MIMO systems

7th International Conference on Design & Technology of Integrated Systems in Nanoscale Era, 2012
This paper presents an in-depth analysis of the zero forcing (ZF) and minimum mean squared error (MMSE) equalizers applied to wireless multi-input multi-output (MIMO) systems with no fewer receive than transmit antennas. In spite of much prior work on this subject, we reveal several new and surprising analytical results in terms of output signal-to ...
Abdellatif Mtibaa, Anis Sakly
exaly   +2 more sources

MMSE cyclic equalization

IEEE Military Communications Conference. Proceedings. MILCOM 98 (Cat. No.98CH36201), 2002
In digital communications, conventional linear and decision feedback equalizers are optimal for stationary signals. However, modulated signals are polycyclostationary (PCS): their correlation functions are time-polyperiodic. Cyclic equalization structures optimized by the MMSE (minimum mean square error) criterion are proposed.
G. Latouche, D. Pirez, P. Vila
openaire   +1 more source

Rake-MMSE-equalizer performance for UWB

IEEE Communications Letters, 2005
The performance of a joint rake and minimum mean square error (MMSE) equalizer receiver for high data rate ultra-wideband communications is studied in this paper. The proposed receiver combats inter-symbol interference by taking advantage of the rake and equalizer structure.
Mohsen Eslami, Xiaodai Dong
openaire   +2 more sources

Spread OFDM performance with MMSE equalization

2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221), 2002
Upper-bounds on the bit error probability of an OFDM/CDMA system in a single user context are derived for a linear minimum mean-square-error (MMSE) receiver structure. All the calculus are performed in presence of a frequency-selective Rayleigh fading channel both in a coded (convolutive forward error correcting scheme) and uncoded scenario ...
Debbah, M., Loubaton, Philippe, Courville, M. De   +2 more
openaire   +2 more sources

MMSE equalization for UMTS HSDPA

2003 IEEE 58th Vehicular Technology Conference. VTC 2003-Fall (IEEE Cat. No.03CH37484), 2003
The impact of 'advanced' mobile receivers incorporating dual-port antenna diversity and chip-rate equalization is assessed in terms of UMTS Release-5 high speed downlink packet access (HSDPA) link and system throughput. The addition of a second antenna port to the RAKE receiver increased the link-level throughput under 3GPP RAN WG4 test conditions by ...
R. Love, K. Stewart, R. Bachu, A. Ghosh
openaire   +1 more source

MMSE Equalizer Design Optimization for Wireline SerDes Applications

IEEE Transactions on Circuits and Systems I: Regular Papers
David A. Johns, Mohammad Hossein Shakiba, Alireza Akbarpour Bazargani   +2 more
exaly   +2 more sources

Innovations approach to MMSE waterfilling based equalizers

2006 IEEE International Symposium on Circuits and Systems, 2006
Block equalizer structures formulated under minimum-mean-square-error (MMSE) criteria are known results which perform MMSE power allocation via eigenvector decomposition of certain defining channel dependent matrices. In a practical channel-estimate based scenario, however, performing such eigenvector decomposition is a formidable task.
Ricardo Merched, Are Hjørungnes
openaire   +1 more source

An ML/MMSE estimation approach to blind equalization

Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing, 2002
Blind equalization of a communication channel is achieved by jointly estimating the deterministic channel coefficients and the random data sequence. The EM algorithm is used to determine the ML estimate of the channel. To implement the EM algorithm, one needs the MMSE estimate of the data sequence for the given estimate of the channel at each step.
Min Shao, Chrysostomos L. Nikias
openaire   +1 more source