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2nd International Conference on Information and Computing Science

作者： Xu, Zhao Wang, Ke Li, Zhuo Xue, Xiang-Yu Jilin Univ Sch Commun Engn JLU Changchun 130023 Peoples R China

ISBN: (纸本)9780769536347

An improved decoding structure of LPCA-Turbo (Linear Prediction Control Algorithm, Turbo code) is presented in this paper. A linear module established by the values of the former exterior information of the component decoder could be equivalent to the SISO module. By the linear module the value of N2 (n+1) exterior information could be predicted. The computation quantity and time of the LPCA will be smaller than the traditional decoding algorithm. Therefore, the complexity and delay of the decoding algorithm can be reduced by the new decoding scheme presented in this paper. What is shown in the simulation result is that while the error-rate performance of the new decoding structure based on LPCA is only lower by 0.1-0.2dB than the traditional Turbo decoding structure, a decoding iterative process of the component decoder could be reduced in the LPCA-Turbo.

关键词： Turbo code iterative decoding structure exterior information Linear Prediction Control Algorithm

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Parallel decoding structure of Turbo Code Based on Double Prediction Control

Parallel Decoding Structure of Turbo Code Based on Double Pr...

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6th International Conference on Wireless Communications, Networking and Mobile Computing (WICOM)

作者： Xue, Xiangyu Wang, Ke Xu, Zhao Jilin Univ Sch Commun Engn Changchun 130023 Peoples R China

ISBN: (纸本)9781424437092

iterative decoding structure is the main feature of Turbo code decoding. It can improve the performance of Turbo decoding, but also increase the decoding complexity, time delay and power consumption. This paper proposes a parallel decoding structure of Turbo code based on double prediction control, i.e., using double prediction control module instead of two iterative decoding algorithms. Since the computation quantity and computing time of the Double Prediction Control Algorithm (DPCA) is smaller than the traditional decoding algorithm, the complexity and delay of the decoding algorithm can be reduced by the new decoding scheme presented in this paper. Exterior information simulations show that comparing to the traditional iterative decoding, time delay can be reduced by at least three times by using prediction scheme each time, while the BER performance simulation results show that the error-rate performance of the new decoding structure based on DPCA is only lower by 0.1 dB than the traditional Turbo decoding structure, but has a good approximation BER curves to the traditional one. When reasonably choose the two prediction intervals, it can achieve the coincident BER curve.

关键词： Turbo code iterative decoding structure Double Prediction Control exterior information

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decoding structure of Turbo Code Based on Parallel Prediction Control

Decoding Structure of Turbo Code Based on Parallel Predictio...

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5th International Conference on Wireless Communications, Networking and Mobile Computing

作者： Xu, Zhao Wang, Ke Li, Zhuo Xue, Xiang-Yu Jilin Univ JLU Sch Commun Engn Changchun 130023 Peoples R China

ISBN: (纸本)9781424436927

This paper presents an improved decoding structure of Turbo code based on Parallel Prediction Control. The SISO module could be equivalent to a linear module established by the values of the former exterior information of the component decoder. The value of No (n+1) exterior information could be predicted by the linear module. Compared to the traditional decoding algorithm, the computation quantity and computing time of the Parallel Prediction Control Algorithm (PPCA) will be smaller. Therefore, the complexity and delay of the decoding algorithm can be reduced by the new decoding scheme presented in this paper. The simulation results show that the error-rate performance of the new decoding structure based on PPCA is only lower by 0.1dB than the traditional Turbo decoding structure, but it can reduce a decoding iterative process of the component decoder.

关键词： Turbo code iterative decoding structure Parallel Prediction Control exterior information

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iterative multiuser detection with Gauss-Seidel soft detector as first stage for asynchronous coded CDMA

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ELECTRONICS LETTERS 2000年第23期36卷 1939-1940页

作者： Qin, Z Teh, KC Nanyang Technol Univ Sch Elect & Elect Engn Singapore 639798 Singapore

In the Letter. a new iterative detection and decoding structure for asynchronous convolutionally coded and turbo coded CDMA is proposed. The new scheme is based on the combination of Gauss-Seidel soft detection and parallel interference cancellation. The complexity of the new scheme is linear to the number of users. It is shown that For heavily loaded system, near-optimal performance can be obtained.

关键词： Gauss-Seidel soft detector turbo coded CDMA iterative decoding convolutionally coded CDMA asynchronous coded CDMA near-optimal performance Multiple access communication turbo codes multiuser channels Codes interference suppression iterative decoding structure iterative multiuser detection signal detection convolutional codes parallel interference cancellation Radio links and equipment Signal detection code division multiple access heavily loaded system linear complexity

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iterative decoding of GMSK modulated convolutional code with multiple differential detection

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ELECTRONICS LETTERS 2000年第3期36卷 258-259页

作者： Qin, GF Zhou, SD Xiao, LM Yao, Y Tsing Hua Univ Dept Elect Engn State Key Lab Microwave & Digital Commun Beijing 10084 Peoples R China

A novel receiver architecture for the serial concatenation system of a convolutional code and a Gaussian minimum shift keying (GMSK) modulator is proposed. A maximum a pasteriori probability algorithm for the multiple differential detection (MDD) of GMSK signals, which accepts a priori information and provides a soft-output for the subsequent convolutional decoder, is derived. The soft-output of the decoder is fed back to the MDD receiver for further improvement thus resulting in an iterative decoding structure.

关键词： Gaussian MSK modulator iterative decoding serial concatenation system differential detection digital radio decoder soft-output minimum shift keying Codes probability GMSK modulated convolutional code AWGN channels maximum a posteriori probability algorithm iterative decoding structure receiver architecture convolutional codes Rayleigh channels Signal detection multiple differential detection Information theory GMSK signal detection

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