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G.HN标准中十字星座QAM低复杂度解映射算法

Low complexity de-mapping algorithm of cross-constellation QAM in G.HN
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摘要 为降低G.HN标准中十字星座QAM解映射的复杂度,首先引入对数似然比贡献权值,衡量参考星座点对解映射的贡献;提出十字星座QAM低复杂度解映射算法,搜索范围缩小为对数似然比贡献权值较大的参考星座点;讨论算法边界情况的搜索范围确定方法;研究信道估计辅助的自适应搜索范围选择方案.仿真结果表明,本文所提算法在获得与全搜索范围相同的误码性能前提下,减小平均搜索星座点数,2 048-QAM和512-QAM解映射平均搜索星座点数仅为全搜索范围的1.9%和5.7%.简化算法较好的平衡性能和解映射复杂度,具有较大的工程应用前景. To reduce the de-mapping complexity of cross-constellation QAM in G. HN standard, we first introduce a novel concept of contribution weight to evaluate the contribution of given constellation to the log-likelihood ratio. With its help, a low complexity de-mapping algorithm within shrunk search range is proposed. And then, some boundary conditions are analyzed and solved. Furthermore, an adaptive configuration of search range is also presented with the assistance of channel estimation. The simulation result validates that the proposed algorithm downsizes the search range without any sacrifice of performance. 2 048-QAM and 512-QAM shrink their average of searching constellations to 1-9% and 5-7% respectively of the whole constellations. Therefore, the proposed algorithm makes good tradeoffs between performance and complexity, and is expected to have important engineering value and widely application foreground.
出处 《哈尔滨工业大学学报》 EI CAS CSCD 北大核心 2015年第5期110-117,共8页 Journal of Harbin Institute of Technology
基金 航天支撑基金(2013-HT-XGD) 陕西省自然科学基础研究计划资助项目(2014JM2-6094) 国家自然科学基金(61271416)
关键词 正交幅度调制(QAM) 十字星座 解映射 信道估计 搜索范围 贡献权值 quadrature amplitude modulation (QAM) cross-constellation de-mapping channel estimation(CE) search range contribution weight
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  • 1彭立,朱光喜,张青春.基于消息传递的LDPC码硬判决解码算法建模[J].小型微型计算机系统,2004,25(6):1092-1093. 被引量:2
  • 2ITU T. G. 9960 Unified high-speed wire-line based home networking transceiver [ S]. Ceneva:.ITUT, 2009.
  • 3Yang Sun, Marjan Karkooti Joseph R. Cavallaro, high throughput, parallel, scalable LDPC encoder/Decoder Architecture for OFDM Systems[J]. Design, Applications, Integration and Software, 2006 IEEE Dallas/ CAS Workshop , 2006 , 26(2): 39-42.
  • 4Mohammad M, Mansour A. Turbo-decoding messagepassing algorithm for sparse parity-check matrix codes [J]. Signal Processing, IEEE Transactions, 2006, 16 (10) : 4376-4392.
  • 5张志 齐丙花 张平.采用高阶QAM的LDPC编码()FDM系统.无线电工程,2004,33(12):41-44.
  • 6Berrou C, Glavieux A, and Thitimajshima P. Near Shannon limit error-correcting coding and decoding: Turbo-codes[C]. IEEE International Conference on Communication, Geneva, 1993: 1064-1070.
  • 7Benedetto S, Divsalar D, Montorsi G, and Pollara F. Bandwidth efficient parallel concatenated coding schemes[J]. Electronics Letters, 1995, 31(24): 2067-2069.
  • 8Robertson P and Woerz T. A novel bandwidth efficient coding scheme employing turbo codes[C], in Proc. IEEE International Conference on Communications, Dallas, Texas,USA, 1996: 962-967.
  • 9Goff S Le, Glavieux A, and Berrou C. Turbo-codes and high spectral efficiency modulation[C], in Proc. ICC'94, New Orleans, 1994: 645-649.
  • 10Fagervik K and Jeans T G. Low complexity bit by bit soft output demodulator [J]. IEEE Electronics Letters, 1996, 32(11): 985-987.

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