基于星座軟信息的猝發(fā)信號(hào)盲均衡算法

黃焱; 邱釗洋; 歐陽(yáng)喜

doi:10.11999/JEIT160420

基于星座軟信息的猝發(fā)信號(hào)盲均衡算法

doi: 10.11999/JEIT160420

基金項(xiàng)目:

國(guó)家自然科學(xué)基金(61072046)

計(jì)量
- 文章訪問(wèn)數(shù): 1498
- HTML全文瀏覽量: 139
- PDF下載量: 457
- 被引次數(shù): 0
出版歷程
- 收稿日期: 2016-04-28
- 修回日期: 2016-09-23
- 刊出日期: 2017-03-19

Blind Equalization for Burst Signals Based on Soft Information of Constellation

Funds:

The National Natural Science Foundation of China (61072046)

摘要

摘要: 針對(duì)非協(xié)作通信中猝發(fā)類幅相調(diào)制信號(hào)先驗(yàn)信息少，數(shù)據(jù)量小，信噪比低等特點(diǎn)，該文在修正常模算法(MCMA)數(shù)據(jù)重用算法基礎(chǔ)之上提出一種基于星座軟信息的猝發(fā)信號(hào)盲均衡算法，采用接收信號(hào)的統(tǒng)計(jì)信息代替調(diào)制信息，并引入循環(huán)迭代的思想，實(shí)現(xiàn)了猝發(fā)信號(hào)的快速盲均衡。此方案不需要調(diào)制方式等先驗(yàn)信息，復(fù)雜度低，靈活性好，適合非合作接收條件。仿真表明，在抗噪聲，抗頻偏，抗相偏性能與傳統(tǒng)算法基本保持一致的前提下，該文算法在收斂速度，穩(wěn)態(tài)誤差等方面均優(yōu)于原算法，對(duì)深衰落信道效果顯著，可應(yīng)用于工程實(shí)踐。
- 非合作接收 /
- 猝發(fā)信號(hào) /
- 盲均衡 /
- 循環(huán)迭代
Abstract: For the characteristics of amplitude and phase-modulated signals in non-cooperative burst communication like less known information, less data, and low signal to noise ratio, Modified Constant Modulus Algorithm (MCMA) is concentrated on and a blind equalization algorithm is designed based on soft constellation information. The proposed algorithm could achieve a quick blind equalization while just using the statistics of the samples of the receiver and adopting the ideology of cyclic iteration. The scheme has a lower complexity, better flexibility while disregarding the modulation type, which made it a good choice for non-cooperative condition. The simulation indicates that the new algorithm has a superior on existing algorithms in converging speed, equalization result, and durability while keeping the performance on defensing noise, frequency offset and phase offset, and can be applied into engineering practice.
- Non-cooperative reception /
- Burst signals /
- Blind equalization /
- Cyclic iteration

HTML全文

參考文獻(xiàn)(23)

ABRAR Shafayat and NANDI Asoke K. An adaptive constant modulus blind equalization algorithm and its stochastic stability analysis[J]. IEEE Signal Processing Letters, 2010, 17(1): 55-58. doi: 10.1109/LSP.2009. 2031765.

楊發(fā)權(quán). 無(wú)線通信信號(hào)調(diào)制識(shí)別關(guān)鍵技術(shù)與理論研究[D]. [博士論文], 西安電子科技大學(xué), 2015.

YANG Faquan. The key techniques and theories research on Modulation recognition for wireless communication signals [D]. [Ph.D. dissertation], Xidian university, 2015.

趙雄文, 郭春霞, 李景春. 基于高階累積量和循環(huán)譜的信號(hào)調(diào)制方式混合識(shí)別算法[J]. 電子與信息學(xué)報(bào), 2016, 38(3): 674-680. doi: 10.11999/JEIT150747.

ZHAO Xiongwen, GUO Chunxia, and LI Jingchun. Mixed recognition algorithm for signal modulation schemes by high-order cumulants and cyclic spectrum[J]. Journal of Electronics Information Technology, 2016, 38(3): 674-680. doi: 10.11999/JEIT150747.

陳澤藝. 基于循環(huán)譜和高階累積量的聯(lián)合模式識(shí)別方法[J].電訊技術(shù), 2015, 16(3): 328-332. doi: 10.3969/j.issn.1001-893x. 2015.03.017.

CHEN Zeyi. A combined modulation recognition based on cyclic spectrum and high-order cumulants[J]. Telecommunication Engineering, 2015, 16(3): 328-332. doi: 10.3969/j.issn.1001-893x.2015.03.017.

KIL Yamoh and YONG Ohkchin. Modified constant modulus algorithm: blind equalization and carrier phase recovery algorithm[C]. IEEE International Conference on Communications, Seattle, USA, 1995: 498-502. doi: 10.1109 /ICC.1995.525219.

許華, 鄭輝, 張冬梅. 基于數(shù)據(jù)重用的常模盲均衡算法[J].通信學(xué)報(bào), 2009, 30(7): 73-77.

XU Hua, ZHENG Hui, and ZHANG Dongmei. Analysis of constant modulus blind equalization algorithms based on data reuse[J]. Journal on Communications, 2009, 30(7): 73-77.

OERDER M and MEYR H. Digital filter and square timing recovery[J]. IEEE Transactions on Communications, 1988, 36(5): 605-612. doi: 10.1109/26.1476.

劉少林. MPSK信號(hào)調(diào)制方式識(shí)別與參數(shù)估計(jì)[D]. [博士論文],北京郵電大學(xué), 2015.

LIU Shaolin. Modulation recognition and parameter estimation of MPSK signals[D]. [Ph.D. dissertation], Beijing University of Posts and Telecommunications, 2015.

ROY S and SHYNK J. Analysis of the data-reusing LMS algorithm[C]. The Thirty-Second Midwest Symposium on Circuits and Systems, Champaign, IL, USA, 1989: 1127-1130. doi: 10.1109/MWSCAS.1989.102053.

SCHNAUFER B A and JENKINS W K. New data-reusing LMS algorithms for improved convergence[C]. The Twenty- Seventh Asilomar Conference on Signals, Systems and Computers, California, USA, 1993: 1584-1588. doi: 10.1109/ ACSSC.1993.342346.

SONI R, GALLIVAN K, and JENKINS W. Low-complexity data reusing methods in adaptive filtering[J]. IEEE Transactions on Signal Processing, 2004, 52(2): 394-405. doi: 10.1109/TSP.2003.821338.

許華. 短時(shí)突發(fā)信號(hào)的盲處理技術(shù)研究[D]. [博士論文], 解放軍信息工程大學(xué), 2005.

XU Hua. Blind equalization techniques on short burst signals [D]. [Ph.D. dissertation], Information Engineering University of PLA, 2005.

GODARD D N. Self-recovering equalization and carrier tracking in two-dimensional data communication systems[J]. IEEE Transactions on Communications, 1980, 28(11): 1867-1875. doi: 10.1109/TCOM.1980.1094608.

廖燦輝, 涂世龍, 萬(wàn)堅(jiān). 一種抗頻偏的衛(wèi)星幅相調(diào)制信號(hào)識(shí)別算法[J]. 電子與信息學(xué)報(bào), 2014, 36(2): 346-352. doi: 10.3724/ SP.J.1146.2013.00512.

LIAO Canhui, TU Shilong and WAN Jian. An anti- frequency-offset algorithm for modulation recognition of satellite amplitude-phase modulated signal[J]. Journal of Electronics Information Technology, 2014, 36(2): 346-352. doi: 10.3724/SP.J.1146.2013.00512.

趙穎. 基于改進(jìn)算法的調(diào)制信號(hào)的載波頻率估計(jì)[J]. 電子設(shè)計(jì)工程, 2016, 24(6): 29-31. doi: 10.14022/j.cnki.dzsjgc.2016. 06.065.

ZHAO Ying. Estimation of carrier frequency of modulation signal based on improved algorithm[J]. Electronic Design Engineering, 2016, 24(6): 29-31. doi: 10.14022/j.cnki.dzsjgc. 2016.06.065.

相關(guān)文章

施引文獻(xiàn)

資源附件(0)

訪問(wèn)統(tǒng)計(jì)