Results 161 to 170 of about 95,162 (199)

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
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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
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Redundancy Allocation in Turbo-Equalizer Design

IEEE Transactions on Communications, 2005
This paper considers properties of the extrinsic information transfer (EXIT) functions of turbo equalized intersymbol interference channels and finite-impulse response precoders. An analytic expression is derived for the maximum value of the EXIT function of the equalizer.
Matthew J. M. Peacock, Iain B. Collings
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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
Jian-Hung Lin, Keshab K. Parhi
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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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LDPC code design for turbo equalization

Proceedings of the IEEE Information Theory Workshop, 2003
We discuss techniques to characterize the probability density function of the extrinsic information at the output of a soft interference canceler based equalizer when used in a turbo equalizer. Then, we show how to use this to compute thresholds for low density parity check (LDPC) codes and to design good LDPC code ensembles for static and time-varying
Krishna R. Narayanan, Xiaodong Wang 0001, Guosen Yue   +2 more
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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 0004, Jingxian Wu 0001, Yahong Rosa Zheng, Chengshan Xiao   +3 more
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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.
Orhan Gazi, Ali Özgür Yilmaz
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HSDPA Mimo Performance with Turbo Equalizer

2006 IEEE 17th International Symposium on Personal, Indoor and Mobile Radio Communications, 2006
In this paper, we study the effect of receiver structures to multiple-input multiple-output (MIMO) performance in a simplified model of high speed downlink packet access (HSDPA) system, which is a packet enhancement to the third generation wideband code division multiple access (WCDMA) mobile communication system.
Marko Lampinen, Ville Haikola
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Joint turbo equalization and turbo TCM for mobile communication systems

12th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications. PIMRC 2001. Proceedings (Cat. No.01TH8598), 2002
This paper deals with a new receiver scheme that combines turbo equalization and turbo trellis coded modulation (turbo TCM). This receiver serially concatenates a soft input soft output (SISO) equalizer and a soft-out symbol-by-symbol MAP turbo TCM decoder through an iterative process. In certain cases, the joint turbo equalization and turbo TCM scheme
Xuan Li, Wen-tao Song 0001, Han-wen Luo 0001   +2 more
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