Results 151 to 160 of about 247 (176)
Some of the next articles are maybe not open access.

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 ...
Trimeche Abdessalem   +3 more
openaire   +1 more source

A comparison of bit and symbol interleaving in MMSE turbo-equalization

IEEE International Conference on Communications, 2003. ICC '03., 2004
The purpose of this paper is to compare bit and symbol interleaving in turbo-equalization (TE) schemes. Considering a single binary encoder and memoryless mapper, the corresponding transmission schemes are respectively bit-interleaved coded modulation (BICM) and trellis-coded modulation (TCM) over a static frequency selective channel. Appropriate turbo
Antoine Dejonghe 0001, Luc Vandendorpe
openaire   +1 more source

Optimum MMSE equalization for staggered modulation

Proceedings of 27th Asilomar Conference on Signals, Systems and Computers, 2002
"Staggered modulation" techniques have become prevalent in digital radio transmission. These techniques offset or stagger the modulation of the in-phase component with respect to the quadrature component of the signal. Examples include minimum shift keying (MSK), Gaussian MSK, offset QPSK, and offset QAM. Conventional equalization designed for QPSK/QAM
openaire   +1 more source

A Novel Practical CP Based Mismatched MMSE Equalization

2017 IEEE Wireless Communications and Networking Conference (WCNC), 2017
Faster than symbol rate (FTSR) sampling is necessary once practical non-adaptive analog front-end filter and excess bandwidth are employed in case of unequally spaced channel taps. Based on this a novel FTSR sampled mismatched minimum mean square error (MMSE) time domain equalization (TDE) is proposed in response to cyclic prefix (CP) based block ...
Eren Balevi, Ali Özgür Yilmaz
openaire   +1 more source

Lattice Reduction Aided MMSE Decision Feedback Equalizers

IEEE Transactions on Signal Processing, 2011
The LLL algorithm developed by Lenstra, Lenstra, and Lovasz has been widely studied to improve the conditioning of linear systems of equations that arise in multi-input multi-output (MIMO) antenna systems. In the first part of this correspondence, we show how a certain class of matrices can be transformed so that the LLL algorithm can be carried out ...
Park, J Park, Jaehyun   +2 more
openaire   +2 more sources

Novel exact low complexity MMSE turbo equalization

2008 IEEE 19th International Symposium on Personal, Indoor and Mobile Radio Communications, 2008
In this paper we analyze low complexity turbo equalization that combines interference canceling and soft-input soft-output (SISO) decoding. We derive a new, exact MMSE solution for the equalization part taking into account the cross-correlation between the linear equalizer output and the soft decisions in the turbo equalization feedback loop as well as
openaire   +1 more source

A note on optimum MMSE/ZF multichannel equalization delay

2010 17th International Conference on Telecommunications, 2010
The reconstruction delay has been, for long time, recognized a significant impact on the performance of an equalizer. Still, no proofs were given that sustain the experimental observations. In this note, we develop a formal analysis that shows that optimum equalization performance is met at a delay larger than the channel memory and smaller than the ...
openaire   +1 more source

A Low Complexity MMSE Equalizer for OFDM Systems over Time-Varying Channels

IEICE Transactions on Communications, 2008
Shaoping Chen
exaly  

MMSE Based Continuous Turbo Equalizer for MIMO-HARQ Systems

The Journal of Korean Institute of Communications and Information Sciences, 2014
Sooyong Choi, Sangjoon Park
exaly  

Home - About - Disclaimer - Privacy