Results 171 to 180 of about 6,477 (204)

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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Blind turbo decoding and equalization

1999 IEEE 49th Vehicular Technology Conference (Cat. No.99CH36363), 2003
We present two turbo decoding structure which combine channel equalization and decoding, allowing communication in the presence of intersymbol interference (ISI). The first one combines the trellis representing each one of the constituent encoders with the ISI trellis and performs slightly better that the second structure, which treats the ISI as ...
J. Garcia-Frias, J.D. Villasenor
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Turbo Equalization in Blind Receiver

2010 International Conference on Communications and Intelligence Information Security, 2010
A turbo equalizer can benefit from channel decoding gain by iteratively performing equalization and channel de-coding. Turbo equalization algorithms always need perfect knowledge of the channel response. In this paper, we propose a blind turbo equalization and iterative channel estimator scheme. A fractional super-exponential blind equalizer is used to
Hua Peng, Jing Li
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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.
J. Park, S.B. Gelfand
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Low-complexity Turbo-equalization for diversity channels

Signal Processing, 2001
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Reynolds, D., Wang, Xiadong
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