Results 191 to 200 of about 4,516 (232)

Adaptive decision feedback turbo equalization

Proceedings IEEE International Symposium on Information Theory,, 2003
We present an adaptive iterative (turbo) decision feedback equalizer (DFE) for channels with intersymbol interference (ISI). The filter coefficients are computed directly from the soft decisions and the received data to minimize a least squares cost function. This method performs better than a turbo DFE with perfect channel knowledge, where the filters
M. Honig, V. Tripathi, null Yakun Sun
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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 ...
A. Hamalainen, J. Henriksson
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Zero state doped turbo equalizer

IEEE Communications Letters, 2007
Although iterative equalizers perform well at low signal to noise ratios, high latency is a major disadvantage for their use in practical communication systems. In this article we propose zero state doped turbo equalizers (ZSDTEs) which can be processed in parallel and have significantly reduced processing delays.
O. Gazi, A.O. Yilmaz
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Enhanced MIMO LMMSE Turbo Equalization

2010 IEEE 72nd Vehicular Technology Conference - Fall, 2010
We propose an enhanced linear minimum mean square error (LMMSE) turbo equalization scheme for multipleinput multiple-output (MIMO) communication systems. The turbo equalizer employs soft interference cancellation (SIC), where tentative soft decisions of the interfering symbols are subtracted from the received samples before the LMMSE filtering.
Jun Tao, Jingxian Wu, Yahong Rosa Zheng, Chengshan Xiao   +3 more
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The improvement of turbo equalization through using turbo codes

Proceedings. 2005 International Conference on Communications, Circuits and Systems, 2005., 2005
In this paper, we propose an equalization algorithm based on serial concatenation turbo-like method-turbo code and parallel concatenation turbo-like method-turbo equalization to improve the BER performance of the general turbo equalization. Utilizing turbo code, we can get a more exact probability of channel encoder input data bits, needed in a maximum
null Xiang Cheng, null Dongfeng Yuan, null Xiangming Yu   +2 more
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Switching LMS linear turbo equalization

2004 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2004
Turbo equalization using linear filters for data detection has been shown to perform nearly as well as those based on the original maximum a posteriori probability (MAP) detection approach. Such linear equalization methods have taken on many forms in the literature, from simple least-mean-square (LMS)-based adaptive filtering approaches, to minimum ...
null Seok-Jun Lee, A.C. Singer, N.R. Shanbhag   +2 more
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Low-power turbo equalizer architecture

IEEE Workshop on Signal Processing Systems, 2003
In this paper, we propose a low complexity architecture for turbo equalizers. Turbo equalizers jointly equalize and decode the received signal by exchanging soft information iteratively. The proposed architecture employs early termination of the iterative process when it does not impact the bit-error rate (BER).
null Seok-Jun Lee, N.R. Shanbhag, A.C. Singer   +2 more
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Enhanced channel shortened turbo equalization

2008 International Conference on Advanced Technologies for Communications, 2008
In this paper, the use of a channel shortening prefilter in conjunction with a maximum a-posteriori probability (MAP) based turbo equalizer is considered. The prefilter shortens the effective channel, thereby reducing the number of equalizer states. As a result of channel shortening, residual intersymbol interference (ISI) appears at the input to the ...
Asri Shaheem, Hans-Jurgen Zepernick, Manora Caldera   +2 more
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Turbo Codes and Turbo Equalization

2000
Turbo codes, introduced by Berrou, et al.[Berrou et al., 1993] in 1993, provide large coding gain for the memoryless additive white Gaussian noise (AWGN) channel and bring the system performance to within 1 dB from the Shannon capacity limit [Shannon, 1948]. The superior performance soon caused turbo codes to receive intense study.
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Low complexity block turbo equalization

2006 IEEE International Symposium on Circuits and Systems, 2006
Although current turbo equalization/decoding algorithms provide superior performance, their implementation complexity is significantly high. Iterative methods make the decoding process even slower. No simple turbo equalization method exists which can work with block turbo decoding. Therefore, this paper proposes a new block turbo equalization algorithm
null Jian-Hung Lin, K.K. Parhi
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