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Turbo equalization

IEEE Signal Processing Magazine, 2004
R Koetter, M Tüchler, A C Singer
exaly   +3 more sources

Parallel MIMO Turbo Equalization

IEEE Communications Letters, 2011
Although the use of filter based equalizer with Multi Input Multi Output (MIMO) turbo equalization ensures promising error rate performance at low area overhead, it adds to the latency already imposed by turbo decoding. In this letter, in order to address the ever increasing requirements of high throughput and low latency, two parallelism techniques ...
Atif Raza Jafri   +2 more
openaire   +3 more sources

Neural approach to turbo equalization

14th IEEE Proceedings on Personal, Indoor and Mobile Radio Communications, 2003. PIMRC 2003., 2004
The turbo equalization can improve the receiver performance significantly. The problem is that the complexity of the optimal algorithms increases exponentially with respect to used code and channel taps. We propose a suboptimal turbo equalizer which is based on iterative equalizer for PSK modulated signals and recurrent neural network convolutional ...
Ari Hämäläinen, Jukka Henriksson
openaire   +2 more sources

Turbo-equalization: convergence analysis

2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221), 2002
We investigate a sub-optimal iterative receiver for joint equalization and decoding called a turbo-equalizer. We view the evolution of the error variance of the transmitted symbols through iterative processing, obtaining the convergence analysis. This allows us to predict the asymptotic performance (when the turbo-equalizer has converged) but also the ...
Aline Roumy   +4 more
openaire   +1 more source

Turbo Equalizer

2006
Turbo codes exhibit excellent performance gains. Turbo equalization is an iterative equalization and decoding technique. It can achieve equally impressive performance gains for communication systems. Turbo codes are send digital data over channels that require equalization, i.e. those which suffer from inter-symbol interference (ISI).
null Priyatamkumar   +2 more
openaire   +1 more source

Turbo equalizations for sparse channels

2004 IEEE Wireless Communications and Networking Conference (IEEE Cat. No.04TH8733), 2004
Turbo equalization scheme provides nearly optimal performance but when it is employed in sparse multipath channel environments, the equalizer complexity can prohibit its use and develops a parallel trellis n-tap maximum a posteriori (MAP) equalizer, which can consider n dominant taps of sparse channels in the trellis with reasonable complexity.
Jeongsoon Park, Saul B. Gelfand
openaire   +2 more sources

Turbo equalization with an unknown channel

IEEE International Conference on Acoustics Speech and Signal Processing, 2002
We consider the problem of joint equalization and decoding, using the method of turbo equalization originally developed by Douillard, et al. [3]. In its original form, turbo-equalization requires accurate knowledge of the channel at the receiver.
Seongwook Song   +2 more
openaire   +2 more sources

A Low Complexity Turbo Equalizer

2005
In this paper a new Soft Input – Soft Output (SISO) equalizer of linear complexity is developed. The algorithm can be used in the so-called Turbo Equalization scheme as a low cost solution in place of the Maximum A-Posteriori (MAP) equalization algorithm which has a prohibitive complexity for most real world applications.
Dimitris Ampeliotis, Kostas Berberidis
openaire   +1 more source

A Low-Complexity Scheduling for Turbo Equalization with Turbo Decoding

2007 IEEE 65th Vehicular Technology Conference - VTC2007-Spring, 2007
A novel scheduling for turbo equalization with turbo decoding is proposed. The use of turbo codes associated to turbo equalizers has been frequently investigated in the literature. The conventional turbo equalizer with turbo decoding consists of a soft input soft output equalizer cooperating with a turbo decoder. In this way, the turbo decoder performs
André Fonseca dos Santos   +2 more
openaire   +1 more source

Modification of turbo equalization with LMMSE equalizer

SPIE Proceedings, 2004
This paper investigates turbo equalization (TE) with linear minimum mean squared error (LMMSE) equalizer, which has much lower complexity but much worse performance than TE with maximum a posteriori (MAP) equalizer because of inefficient information processing of LMMSE equalizer.
Sen Jiang   +3 more
openaire   +1 more source

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