Results 181 to 190 of about 4,516 (232)

Sparse MAP equalizers for turbo equalizations

2005 IEEE 61st Vehicular Technology Conference, 2005
The turbo equalization scheme provides nearly optimal performance, but when it is employed in sparse multipath channel environments, the equalizer complexity can prohibit its use. In this paper, we develop a parallel trellis n-tap soft-input soft-output maximum a posteriori (MAP) equalizer which can consider n dominant taps of sparse channels with ...
J. Park, S.B. Gelfand
openaire   +1 more source

Turbo equalization with Jointly Gaussian equalizer

Journal of Electronics (China), 2005
A Jointly Gaussian (JG) equalizer is derived for turbo equalization based on an augmented real matrix representation of channel model and a Gaussian approximation of the received symbol sequence. Using matrix inversion lemma and Cholesky decomposition, a low-complexity implementation of JG equalizer is also presented.
Sen Jiang, Hong Sun, Ping Li
openaire   +1 more source

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 ...
Jafri, Atif Raza   +2 more
openaire   +2 more sources

Modified LMMSE Turbo Equalization

IEEE Communications Letters, 2004
This letter presents a modified linear minimum mean square error (LMMSE) turbo equalization scheme that uses an augmented real matrix representation for quadrature modulation systems. In the proposed scheme, the estimates of the two quadrature components of the transmitted symbol have both their individual variances and their covariance considered ...
S. Jiang, L. Ping, H. Sun, C.S. Leung
openaire   +1 more source

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 ...
A. Roumy   +4 more
openaire   +2 more sources

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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