脈沖噪聲下基于Renyi熵的分?jǐn)?shù)低階雙模盲均衡算法
doi: 10.11999/JEIT170366
-
1.
(大連理工大學(xué)電子信息與電氣工程學(xué)部 大連 116024) ②(國家無線電監(jiān)測中心 北京 100037)
國家自然科學(xué)基金(61671105, 61139001, 61172108, 81241059)
Dual-mode Blind Equalization Algorithm Based on Renyi Entropy and Fractional Lower Order Statistics Under Impulsive Noise
-
1.
(Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian 116024, China)
-
2.
(State Radio Monitoring Center, Beijing 100037, China)
The National Natural Science Foundation of China (61671105, 61139001, 61172108, 81241059)
-
摘要: 針對脈沖噪聲下盲均衡器難以快速收斂并有效抑制噪聲的問題,該文提出一種基于Renyi熵的分?jǐn)?shù)低階雙模盲均衡算法。該算法將Renyi熵與分?jǐn)?shù)低階統(tǒng)計(jì)量相結(jié)合并用作代價(jià)函數(shù)來更新盲均衡器權(quán)向量,利用Renyi熵提高算法的收斂速度,利用分?jǐn)?shù)低階統(tǒng)計(jì)量增強(qiáng)算法對脈沖噪聲的抑制能力。為了提升系統(tǒng)穩(wěn)健性,該文進(jìn)一步提出雙閾值加權(quán)判決法,通過設(shè)置雙閾值并引入非線性加權(quán)函數(shù),使得兩種代價(jià)函數(shù)之間的切換更為平滑。在不同脈沖性噪聲、不同信道環(huán)境下進(jìn)行仿真實(shí)驗(yàn),結(jié)果表明,該文算法既能有效抑制脈沖噪聲,又具有較快的收斂速度。
-
關(guān)鍵詞:
- 脈沖噪聲 /
- 盲均衡 /
- Renyi熵 /
- 分?jǐn)?shù)低階統(tǒng)計(jì)量
Abstract: To improve the convergence speed and noise suppression effects of blind equalizer under impulsive noise environment, a new dual-mode blind equalization algorithm based on Renyi entropy and fractional lower order statistics is presented. Renyi entropy and fractional lower order statistics are combined as cost functions to update the weight coefficients of the equalizer in this method, which can improve the convergence speed and enhance the ability of suppressing impulse noise. In addition, considering the robustness of system, a double-threshold based weighting decision method is proposed. By setting double thresholds and a nonlinear weighting function, the switching between two cost functions become smooth. Simulation experiments are carried out under different impulse noise and different channel conditions. The results show that the algorithm converges faster and suppresses impulse noise effectively at the same time.-
Key words:
- Impulsive noise /
- Blind equalization /
- Renyi entropy /
- Fractional lower order statistics
-
AZIM A W, ABRAR S, ZERGUINE A, et al. Performance analysis of a family of adaptive blind equalization algorithms for square-QAM[J]. Digital Signal Processing, 2016, 48(C): 163-177. doi: 10.1016/j.dsp.2015.09.002. SCARANO G, PETRONI A, BIAGI M, et al. Second order statistics driven LMS blind fractionally spaced channel equalization[J]. IEEE Signal Processing Letters, 2017, 24(2): 161-165. doi: 10.1109/LSP.2016.2635034. DAS R L and NARWARIA M. Lorentzian based adaptive filters for impulsive noise environments[J]. IEEE Transactions on Circuits and Systems I: Regular Papers, 2017, 64(6): 1529-1539. doi: 10.1109/TCSI.2017.2667705. LUAN S, QIU T, ZHU Y, et al. Cyclic correntropy and its spectrum in frequency estimation in the presence of impulsive noise[J]. Signal Processing, 2016, 120: 503-508. doi: 10.1016/ j.sigpro.2015.09.023. PELEKANAKIS K and CHITRE M. Adaptive sparse channel estimation under symmetric alpha-stable noise[J]. IEEE Transactions on Wireless Communications, 2014, 13(6): 3183-3195. doi: 10.3390/a9030054. 黃焱, 邱釗洋, 歐陽喜. 基于星座軟信息的猝發(fā)信號(hào)盲均衡算法[J]. 電子與信息學(xué)報(bào), 2017, 39(3): 568-574. doi: 10.11999 /JEIT160420. HUANG Yan, QIU Zhaoyang, and OUYANG Xi. Blind equalization for burst signals based on soft information of constellation[J]. Journal of Elestronics Information Technology, 2017, 39(3): 568-574. doi: 10.11999/JEIT160420. 馬思揚(yáng), 彭華, 王彬. 適用于稀疏多徑信道的稀疏自適應(yīng)常模盲均衡算法[J]. 通信學(xué)報(bào), 2017, 38(1): 149-157. doi: 10.11959 /j.issn.1000-436x.2017017. MA Siyang, PENG Hua, and WANG Bin. Sparse adaptive constant blind equalization algorithm for sparse multipath channel[J]. Journal on Communications, 2017, 38(1): 149-157. doi: 10.11959/j.issn.1000-436x.2017017. SCARANO G, PETRONI A, BIAGI M, et al. Second-order statistics driven LMS blind fractionally spaced channel equalization[J]. IEEE Signal Processing Letters, 2017, 24(2): 161-165. doi: 10.1109/LSP.2016.2635034. RUPI M, TSAKALIDES P, Re E D, et al. Constant modulus blind equalization based on fractional lower-order statistics[J]. Signal Processing, 2004, 84(5): 881-894. doi: 10.1016/j.sigpro. 2004.01.006. LI S and QIU T S. Tracking performance analysis of fractional lower order constant modulus algorithm[J]. Electronics Letters, 2009, 45(11): 545-546. doi: 10.1049/ el.2009.0561. LI Sen, WANG Yan, and LIN Bin. Concurrent blind channel equalization in impulsive noise environments[J]. Chinese Journal of Electronics, 2013, 22(4): 741-746. SANTAMATIA I, ERDGMUS D, and PRINCIPE J C. Entropy minimization for supervised digital communications channel equalization[J]. IEEE Transactions on Signal Processing, 2002, 50(5): 1184-1192. doi: 10.1109/78.995074. 張銀兵, 趙俊渭, 李金明, 等. 基于Renyi熵的水聲信道判決反饋盲均衡算法研究[J]. 電子與信息學(xué)報(bào), 2009, 31(4): 911-915. doi: 10.3724/SP.J.1146.2008.00056. ZHANG Yinbing, ZHAO Junwei, LI Jinming, et al. Decision feedback blind equalization algorithm based on RENYI entropy for underwater acoustic channels[J]. Journal of Elestronics Information Technology, 2009, 31(4): 911-915. doi: 10.3724/SP.J.1146.2008.00056. 郭業(yè)才, 龔秀麗, 張艷萍. 基于樣條函數(shù)Renyi熵的時(shí)間分集小波盲均衡算法[J]. 電子與信息學(xué)報(bào), 2011, 33(9): 2050-2055. doi: 10.3724/SP.J.1146.2011.00110. GUO Yecai, GONG Xiuli, and ZHANG Yanping. Spline function Renyi entropy based tme diversity wavelet blind equalization algorithm[J]. Journal of Elestronics Information Technology, 2011, 33(9): 2050-2055. doi: 10.3724 /SP.J.1146.2011.00110. FKI S, MESSAI M, AISSA-EL-BEY A, et al. Blind equalization based on pdf fitting and convergence analysis[J]. Signal Processing, 2014, 101: 266-277. doi: 10.1016/j.sigpro. 2014.02.009. 邱天爽, 戚寅哲. 穩(wěn)定分布噪聲下基于粒子濾波的雙站偽多普勒定位方法[J]. 通信學(xué)報(bào), 2016, 37(1): 28-34. doi: 10.11959 /J.ISSN.1000-436x.2016004. QIU Tianshuang and QI Yinzhe. Dual-station pseudo- doppler localization method based on particle filtering with stable distribution noise[J]. Journal on Communications, 2016, 37(1): 28-34. doi: 10.11959/J.ISSN.1000-436x.2016004. 宋愛民. 穩(wěn)定分布噪聲下時(shí)延估計(jì)與波束形成新算法[D]. [博士論文], 大連理工大學(xué), 2015. SONG Aimin. New algorithms for time delay estimation and beamforming under stable distribution Noise[D]. [Ph.D. dissertation], Dalian University of Technology, 2015. PRINCIPE J C, XU D, ZHAO Q, et al. Learning from examples with information theoretic criteria[J]. Journal of VLSI Signal Processing, 2000, 26(1): 61-77. doi: 10.1023/A: 1008143417156. 李進(jìn), 馮大政, 劉文娟. 快速 QAM 信號(hào)多模盲均衡算法[J]. 電子與信息學(xué)報(bào), 2013, 35(2): 273-279. doi: 10.3724/SP.J. 1146.2012.00609. LI Jin, FENG Dazheng, and LIU Wenjuan. A fast multimodulus blind equalization algorithm for QAM signal[J]. Journal of Elestronics Information Technology, 2013, 35(2): 273-279. doi: 10.3724/SP.J.1146.2012.00609. 張銀兵, 趙俊渭, 郭業(yè)才, 等. 抑制穩(wěn)定噪聲的改進(jìn)常數(shù)模盲均衡算法[J]. 西北工業(yè)大學(xué)學(xué)報(bào), 2010, 28(2): 202-206. ZHANG Yinbing, ZHAO Junwei, GUO Yecai, et al. Improving AECCMA for blind equalization to make it suitable in noise[J] Journal of Northwestern Polytechnical University, 2010, 28(2): 202-206. -
計(jì)量
- 文章訪問數(shù): 1482
- HTML全文瀏覽量: 184
- PDF下載量: 154
- 被引次數(shù): 0