基于高階統(tǒng)計(jì)特征的空時(shí)分組碼盲識(shí)別方法

閆文君; 張立民; 凌青; 洪丹楓

doi:10.11999/JEIT150739

基于高階統(tǒng)計(jì)特征的空時(shí)分組碼盲識(shí)別方法

doi: 10.11999/JEIT150739 cstr: 32379.14.JEIT150739

1.
(海軍航空工程學(xué)院電子信息工程系煙臺(tái) 264001) ②(海軍航空工程學(xué)院信息融合所煙臺(tái) 264001) ③(青島大學(xué)信息工程學(xué)院青島 266071)

基金項(xiàng)目:

國家自然科學(xué)基金(61102167)

計(jì)量
- 文章訪問數(shù): 1266
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- 被引次數(shù): 0
出版歷程
- 收稿日期: 2015-06-18
- 修回日期: 2015-10-15
- 刊出日期: 2016-03-19

An Algorithm for Blind Classification of Space-time Block Code Based on Higher-order Statistics

1.
(Department of Electronic and Information Engineering, Naval Aeronautical and Astronautical University, Yantai 264001, China)
2.
(Institute of Information Fusion, Naval Aeronautical and Astronautical University, Yantai 264001, China)

Funds:

The National Natural Science Foundation of China (61102167), Taishan Scholar Special Foundation

摘要

摘要: 空時(shí)分組碼的盲識(shí)別是認(rèn)知無線電領(lǐng)域一個(gè)新的重要問題。多數(shù)現(xiàn)有算法在多接收天線下進(jìn)行識(shí)別，然而這些算法并不完全適用于單接收天線條件。針對(duì)上述問題，該文提出一種同時(shí)適用于單接收天線和多接收天線的空時(shí)分組碼盲識(shí)別方法。利用空時(shí)分組碼矩陣內(nèi)元素的相關(guān)性，提出四階統(tǒng)計(jì)量作為盲識(shí)別的特征參數(shù)，并通過最小歐氏距離的方式檢驗(yàn)四階統(tǒng)計(jì)量的差異，達(dá)到識(shí)別的目的。蒙特卡洛仿真表明，算法識(shí)別性能較好，且不需要預(yù)先知道信道信息、噪聲信息和調(diào)制信息，對(duì)多普勒頻移和相位噪聲具有一定的適應(yīng)性。
- 認(rèn)知無線電 /
- 信號(hào)盲識(shí)別 /
- 空時(shí)分組碼
Abstract: Blind recognition of Space-Time Block Code (STBC) is a new important task in cognitive radio system. Most of the previous researches require multiple receive antennas, however, in many practical applications, size and power on the receivers may favor single receive antenna solution. To solve the problem above, an algorithm for blind classification of STBC is proposed. Using the correlation of the symbols in STBC block, fourth-order statistics are used as feature, and Euclidean metric between two statistics is used to classify different STBCs. It does not require estimation of the channel, signal-to-noise, and modulation of the transmitted signals. Monte Carlo simulations show the validity of the algorithm with low sensitivity to phase noise and Doppler shift.
- Cognitive radio /
- Blind signal classification /
- Space-Time Block Code (STBC)

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參考文獻(xiàn)(17)

DOBRE O A, ABDI A, BAR-NESS Y, et al. A survey of automatic modulation classification techniques: Classical approaches and new developments[J]. IET Communications, 2007, 1(2): 137-156.

YUCEK T and ARSLAN H. A survey of spectrum sensing algorithms for cognitive radio applications[J]. IEEE Communications Surveys and Tutorials, 2009, 11(1): 116-130.

錢國兵, 李立萍, 郭亨藝. 多入單出正交空時(shí)分組碼系統(tǒng)的調(diào)制識(shí)別[J]. 電子與信息學(xué)報(bào), 2015, 37(4): 863-867. doi: 10.11999/JEIT140644.

QIAN Guobing, LI Liping, and GUO Hengyi. Modulation identification for orthogonal space-time block code in multiple input single output systems[J]. Journal of Electronics Information Technology, 2015, 37(4): 863-867. doi: 10.11999/JEIT140644.

AOUADA S, ZOUBIR A M, and SEE C M. A comparative study on source number detection[C]. International Symposium on Signal Processing and its applications, Paris, France, 2003, 1: 173-176.

ELDEMERDASH Y A, MAREY M, DOBRE O A, et al. Fourth-order statistics for blind classification of spatial multiplexing and Alamouti space-time block code signals[J]. IEEE Transactions on Communications, 2013, 61(6): 2420-2431.

ELDEMERDASH Y A, DOBRE O A, MAREY M, et al. An efficient algorithm for space-time block code classification[C]. IEEE Global Communications Conference, Atlanta, GA, USA, 2013: 3329-3334.

MAREY M, DOBRE O A, and INKOL R. Classification of space time block codes based on second-order cyclostationarity with transmission impairments[J]. IEEE Transactions on Wireless Communications, 2012, 11(7): 2574-2584.

KARAMI E and DOBRE O A. Identification of SM-OFDM and AL-OFDM signals based on their second-order cyclostationarity[J]. IEEE Transaction on Vehicular Technology, 2015, 64(3): 942-953.

MOHAMMADKARIMI M and DOBRE O A. Blind identification of spatial multiplexing and Alamouti space-time block code via Kolmogorov-Smirnov(K-S) test[J]. IEEE Communications Letters, 2014, 18(10): 1711-1714.

DEMIR A, MEHROTRA, and ROYCHOWDHURY A. Phase noise in oscillators: a unifying theory and numerical methods for characterization[J]. IEEE Transactions on Circuits and Systems, 2000, 47(5): 655-674.

SWAMI A and SADLER B M. Hierarchical digital modulation classification using cumulants[J]. IEEE Transactions on Communications, 2000, 48(3): 416-429.

付衛(wèi)紅, 楊小牛, 劉乃安. 基于四階累積量的穩(wěn)健的通信信號(hào)盲分離算法[J]. 電子與信息學(xué)報(bào), 2008, 30(8): 1853-1856.

FU Weihong, YANG Xiaoniu, and LIU Naian. Robust algorithm for communication signal blind separation fourth-ordercumulant-based[J]. Journal of Electronics Information Technology, 2008, 30(8): 1853-1856.

BEAULIEU N and CHENG C. Efficient Nakagami-m fading channel simulation[J]. IEEE Transactions on Vehicular Technology, 2005, 54(2): 413-424.

CHOQUEUSE V, MARAZIN M, COLLIN L, et al. Blind recognition of linear space time block codes: a likelihood-based approach[J]. IEEE Transactions on Signal Processing, 2010, 58(3): 1290-1299.

ELDEMERDASH Y A, DOBRE O A, and LIAO B J. Blind identification of SM and Alamouti STBC-OFDM signals[J]. IEEE Transactions on Wireless Communications, 2015 14(2): 972-982.

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