非高斯脉冲噪声下Turbo均衡性能分析的改进EXIT图方法
doi: 10.3724/SP.J.1146.2008.00798
Modified EXIT Chart Method for Performance Analysis of Turbo Equalization in Non-Gaussian Impulsive Noise Environments
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摘要: 该文提出了一种改进的外信息转移图(EXIT图)方法，可用于分析加性非高斯对称稳定分布噪声多径信道条件下Turbo均衡性能，为实际的Turbo均衡系统设计提供预估性能参数。该方法对传统的EXIT图分析做出的改进在于给出了非高斯对称稳定分布条件下一种实用的外信息的概率密度分布的近似估计。将EXIT图与系统误码率分析相结合，可对互信息变化的迭代轨迹、迭代次数和每次迭代能达到的误码率做出预测估计。对截断Turbo均衡方法的仿真结果表明，利用该方法预测的系统性能与实际的仿真结果基本一致，证实了该方法的有效性。Abstract: A modified EXtrinsic Information Transfer chart (EXIT chart) method is proposed. This EXIT chart is adopted as a tool to analyze the convergence behavior and to predict the performance of turbo equalization in additive non-Gaussian impulsive noise channel. The probability distribution of the extrinsic information is estimated to improve the traditional EXIT chart under symmetric stable noise environment. Together with the Bit Error Rate (BER) analysis, the performances of turbo equalization, such as iterative trajectory, iterative convergence and the BER value at each iteration, are predicted. The experiments on the truncated turbo equalizer show that the predicted performances are consistent with the simulated results. Thus the validity of the proposed method is verified.
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Berrou C, Glavieux A, and Thitmajshima P. Near Shannonlimit error-correcting coding and decoding-codes [C]. IEEEInt. Conf. on Communications, Geneva, Switzerland, May,1993: 1064-1070.[2]Tchler M, Koetter R, and Singer A C. Turbo equalization:Principles and new results [J].IEEE Trans. on Commun.2002, 50(5):754-767[3]Koetter R, Singer A C, and Tchler M. Turbo equalization[J].IEEE Signal Process. Mag.2004, 21(3):67-80[4]Chuah T C. Turbo equalisation in non-Gaussian impulsivenoise [J].IEE Proc.-Vis. Image Signal Process.2005, 152(1):52-60[5]Middleton D. Non-Gaussian noise models in signal processingfor telecommunications: New methods and results for class Aand class B noise models [J].IEEE Trans. on Inf. Theory.1999, 45(4):1129-1149[6]Divsalar S D D D and Pollara F. Iterative turbo decoderanalysis based on density evolution [J].IEEE Journal onSelected Area in Communications.2001, 19(5):891-907[7]Bhattad K and Narayanan K R. An MSE-based transferchart for analyzing iterative decoding schemes using aGaussian approximation [J].IEEE Trans. on Inf. Theory.2007, 53(1):22-38[8]Brink S T. Convergence behavior of iteratively decodedparallel concatenated codes [J].IEEE Trans. on Commun.2001, 49(10):1727-1737[9]邱天爽等. 统计信号处理非高斯信号处理及其应用[M].北京: 电子工业出版社, 2004: 139-158.Qiu Tian-shuang, et al.. Statistical Signal Processing -Non-Gaussian Signal Processing and Applications [M].Beijing: Publishing House of Electronics Industry, 2004:139-158.[10]Nolan J P. Numerical calculation of stable densities anddistribution [J].Comm. Statist, Stochastic Models.1997,13(4):759-774[11]Evans M, Hastings N, and Peacock J B. StatisticalDistributions [M], 3rd ed. New York: Wiley, 2000: 3-30. -
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