自适应切换双模盲均衡算法

曾乐雅; 许华; 王天睿

doi:10.11999/JEIT160099

自适应切换双模盲均衡算法

doi: 10.11999/JEIT160099

1.
(空军工程大学信息与导航学院西安 710077)
2.
(南京师范大学地理科学学院南京 210046)

基金项目:

国家自然科学基金(61001111)

计量
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- 被引次数: 0
出版历程
- 收稿日期: 2016-01-21
- 修回日期: 2016-06-08
- 刊出日期: 2016-11-19

Dual Mode Blind Equalization Algorithm Based on Adaptive Switching

1.
(Information and Navigation College, Air Force Engineering University, Xi&rsquo
2.
(School of Geography Science, Nanjing Normal University, Nanjing 210046, China)

Funds:

The National Natural Science Foundation of China (61001111)

摘要

摘要: 常数模算法在无线通信系统的盲均衡中得到广泛的使用，为了进一步降低稳态误差通常选择将其与判决引导最小均方误差算法相结合，传统的双模切换盲均衡算法通过人为设定门限值实现两种算法的硬切换，其切换时机选择的合理性无法保证，不能充分凸显双模切换的长处。该文利用凸组合结构借助遵循一定规则迭代变化的联合参数将两种算法进行结合，实现两种算法模式的切换，自适应地选择切换时机，并通过对算法的修正和混合参数归一化的改进使在克服恢复信号相位偏转的同时加快了收敛速率、降低了稳态误差；另外，对稳态性能进行推导分析得到了理论的稳态模型。仿真结果证明稳态性能与模型推导结果保持一致，参数归一化改进所得效果较为明显，与同类其它双模切换算法相比具有更优的性能。
- 信号处理 /
- 盲均衡 /
- 凸组合 /
- 双模 /
- 归一化
Abstract: The constant modulus algorithm is widely used in the blind equalization of wireless communication system, in order to reduce further the steady-state error, it is usually combined with the decision directed least mean square algorithm. The traditional dual mode blind equalization algorithm can achieve the hard switching of the two algorithms by setting the threshold value artificially. The rationality of the switch can not be guaranteed, it also can not fully highlight the advantages of dual mode switching. In this paper, the structure of the convex combination is used to achieve the switching between two modes and can adaptively choose the switching time. It improves the convergence rate and reduces the steady-state error by modifying the algorithm and normalizing the mixed parameter. In addition, the steady-state performance is derived and analyzed. Simulation results demonstrate that the performance of the model is consistent with the results, the effect of parameter normalization is obvious. Compared with other similar dual mode switching algorithms, it has better performance.
- Signal processing /
- Blind equalization /
- Convex combination /
- Dual-mode /
- Normalization

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参考文献(20)

RAGHEB A M, SHOAIB M, ALSHEBEILI S, et al. Enhanced blind equalization for optical DP-QAM in finite precision hardware[J]. IEEE Photonics Technology Letters, 2015, 27(2): 181-184.

JIA Z, CAI Y, CHEN H C, et al. Performance comparison of spectrum-narrowing equalizations with maximum likelihood sequence estimation and soft-decision output[J]. Optics Express, 2014, 22(5): 6047-6059.

SHAH S M, SAMAR R, NAQVI S M R, et al. Fractional order constant modulus blind algorithms with application to channel equalisation[J]. Electronics Letters, 2014, 50(23): 1702-1704.

XIAO Y and YIN F. Blind equalization based on direction gradient algorithm under impulse noise environment[J]. WSEAS Transactions on Communications, 2014, 13: 171-177.

饶伟. 多径衰落环境中具有调制识别能力的盲均衡新算法[J]. 电子学报, 2013, 41(7): 1284-1289. doi: 10.3969./j.issn.0372- 2112.2013.07.007.

RAO W. New blind equalization algorithm with ability of modulation classification under the condition of multipath propagation[J]. Acta Electronica Sinica, 2013, 41(7): 1284-1289. doi: 10.3969./j.issn.0372-2112.2013.07.007.

王成, 杨宾, 王大磊. 基于星座修正聚类的双模式盲均衡算法[J]. 信号处理, 2012, 28(8): 1194-1199.

WANG C, YANG B, and WANG D. Dual-mode blind equalization algorithm based on clustering[J]. Signal Processing, 2012, 28(8): 1194-1199.

赵良, 汪春梅, 孙洪波. 逐幸存序列算法引导的快速盲均衡算法[J]. 西安电子科技大学学报(自然科学版), 2013, 40(2): 201-206. doi: 10.3969/j.issn.1001-2400.2013.02.032.

ZHAO L, WANG C, and SUN H. Fast blind equalization algorithm based on PSP[J]. Journal of Xidian University, 2013, 40(2): 201-206. doi: 10.3969/j.issn.1001-2400.2013. 02.032.

阮秀凯, 蒋啸, 李昌. 一种适用于高阶 QAM 系统 Bussgang 类盲均衡新方法[J]. 电子与信息学报, 2012, 34(8): 2018-2022. doi: 10.3724/SP.J.1146.2011.01403.

RUAN X, JIANG X, and LI C. A novel method of bussgang-type blind equalization in high-order QAM systems[J]. Journal of Electronics Information Technology, 2012, 34(8): 2018-2022. doi: 10.3724/SP.J.1146.2011.01403.

洪丹枫, 苗俊, 苏健, 等. 一种变步长凸组合LMS自适应滤波算法改进及分析[J]. 电子学报, 2014, 42(11): 2225-2230. doi: 10.3969 /j.issn.0372-2112.2014.11.015.

HONG D, MIAO J, SU J, et al. An improved variable step-size convex combination of LMS adaptive filtering algorithm and its analysis[J]. Acta Electronica Sinica, 2014, 42(11): 2225-2230. doi: 10.3969/j.issn.0372-2112.2014.11. 015.

ARENAS-GARCIA J, FIGUEIRAS-VIDAL A R, and SAYED A H. Mean-square performance of a convex combination of two adaptive filters[J]. IEEE Transactions on Signal Processing, 2006, 54(3): 1078-1090.

FAN L, JUNWEN Z, JIANJUN Y, et al. Blind equalization for dual-polarization two-subcarrier coherent QPSK-OFDM signals[J]. Optics Letters, 2014, 39(2): 201-204.

LUO C, LI G, YANG X, et al. New convex combination strategy for the MMSE blind equalization algorithms[J]. Journal of Electronic Measurement Instrument, 2009, 23(1): 37-41.

AZPICUETA-RUIZ L A, FIGUEIRAS-VIDAL A R, and ARENAS-GARCIA J. A normalized adaptation scheme for the convex combination of two adaptive filters[C]. International Conference on Acoustics, Speech, and Signal Processing, Las Vegas, 2008: 3301-3304.

FILHO J M, MIRANDA M D, and SILVA M T M. A regional multimodulus algorithm for blind equalization of QAM signals: introduction and steady-state analysis[J]. Signal Processing, 2012, 92(11): 2643-2656.

PICCHI G and PRATI G. Blind equalization and carrier recovery using a stop-and-go decision-directed algorithm[J]. IEEE Transactions on Communications, 1987, 35(9): 877-887.

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