动态频谱接入中的侦测与避让技术

doi:10.3969/j.issn.1000-0801.2010.03.011

Abstract

Abstract:

Due to efficiently solve spectrum resource shortage and low spectrum utilization rate problems,dynamic spectrum access has become a research focus.It can allow the unlicensed users to dynamically share the spectrum that is not used by the primary licensed users without interference by means of dynamic radio frequency spectrum management policy.This paper presents a comprehensive survey on the detecting and avoiding technology of dynamic spectrum access.Their primary virtues and deficiencies are also analyzed and discussed.Some problems worthy of further study and probably developing trends in the dynamic spectrum access field are presented.

Key words: congnitive radio, dynamic spectrum access, detect, avoid

Ying Shi,Maoliu Lin. A Survey of Detect and Avoid Technology of Dynamic Spectrum Access[J]. Telecommunications Science, 2010, 26(3): 35-40.

Figures/Tables 6

References 38

1
2	Detect and avoid technology. A Wisair White Paper, 2005
3	Proakis J G . Digital communications （4th ed）. McGraw-Hill, 2001
4	Urkowitz H . Energy detection of unknown deterministic signals.In: Proceeding of the IEEE, 1967,55 （4）:523～531.
5	Khiem V , Vu Phan . Energy detection performance in a noise fluctuating channel.In: Military Communications Conference,MILCOM'89, Boston,MA,USA, Oct 1989
6	Tandra R , Sahai A . Fundamental limits on detection in low SNR under noise uncertainty.In: Wireless Networks,Communications and Mobile Computing,International Conference on, 2005
7	Tandra R . Fundamental limits on detection in low SNR. Berkeley: University of California, 2005
8	Gardner W . Spectral correlation of modulated signals:part I-analog modulation communications. IEEE Transactions on, 1987,35 （6）:584～594
9	Gardner W , Brown W , Chih-Kang Chen . Spectral correlation of modulated signals:part II-digital modulation communications. IEEE Transactions on, 1987,35 （6）:595～601
10	Gini F , Giannakis G B . Frequency offset and symbol timing recovery in flat-fading channels:a cyclostationary approach communications.IEEE Transactions on, IEEE Transactions on, 1998,46 （3）:400～411.
11	Heath R W J , Giannakis G B . Exploiting input cyclostationarity for blind channel identification in OFDM systems. IEEE Transactions on, 1999,47 （3）:848～856.
12	Adlard J F . Frequency shift filtering for cyclostationary signals. Thesis Ph D,University of York 2000
13	Gardner W A , Spooner C M . Signal interception:performance advantages of cyclic-feature detectors communications. IEEE Transactions on, 1992,40 （1）:149～159
14	Han Ning , Sung Hwan Sohn , Chung J H , et al. Spectral correlation based signal detection method for spectrum sensing in IEEE 802.22 WRAN.In: IEEE ICACT2006,Phoenix Park, Feb 2006
15	Chen Hou-Shin , Gao Wen , David G D . Spectrum sensing using cyclostationary properties and application to IEEE 802.22 WRAN.In: IEEE GLOBECOM 2007, Washington,DC, Nov 2007
16	Jae-Kwon Lee , Ju-Hyun Yoon , in-Up Kim . A new spectral correlation approach to spectrum sensing for 802.22 WRAN system.In: International Conference on Intelligent Pervasive Computing, Jeju City, Oct 2007
17	Liu C , Li F . Spectrum modelling of OFDM signals for WLAN. Electronics Letters, 2004 （40）:1431～1432
18	Sung Hwan Sohn , Han Ning , Jae Moung Kim , et al. OFDM signal sensing method based on cyclostationary detection.In: The 2nd International Conference on, Orlando,FL,USA, Aug 2007
19	Sutton P D , Nolan K E , Doyle L E . Cyclostationary signatures in practical cognitive radio applications. IEEE Journal on Selected Areas in Communications, 2008,26 （1）:13～24
20	Sutton P D , Nolan K E , Doyle L E , . Cyclostationary signatures for redezvous in OFDM-based dynamic spectrum access networks.In: IEEE DySPAN 2007, Dublin, April 2007
21	Leu A E , Mark McHenry , Mark B L . Modeling and analysis of listen-before-talk spectrum access scheme. International Journal of Network Management, 2006,16 （2）:131～147
22	Krenik W , Batra A . Cognitive radio techniques for wide area networks.In: 42nd Design Automation Conference, Anaheim,CA,USA, June 2005
23	Weiss T , Hillenbrand J , Jondral F . A diversity approach for the detection of idle spectral resources in spectrum pooling systems.In: Proc of the 48th International Scientific Colloquium, Ilmenau,Germany, Sept 2003
24	Hillenbrand J , Weiss T , Jondral F . Calculation of detection and false alarm probabilities in spectrum pooling systems. IEEE Communication letter, 2005,9 （4）:349～351
25	Visotsky E , Kuffner S , Peterson R . On collaborative detection of TV transmissions in support of dynamic spectrum sharing.In: Proc of IEEE Int Symposium on New Frontiers in Dynamic Spectrum Access Networks, Baltimore,Maryland,USA, Nov 2005
26	Sun C , Zhang W , Letaief K B . Cooperative spectrum sensing for cognitive radios under bandwidth constraints.In: Proc of IEEE Wireless Commun and Networking Conf, Hong Kong, Mar 2007
27	Ahmed N , Hadaller D , Keshav S . GUESS:gossiping updates for efficient spectrum sensing.In: Proc of International Workshop on Decentralized Resource Sharing in Mobile Computing and Networking, Los Angeles,California,USA, 2006
28	Ganesan G , Li Yei . Cooperative spectrum sensing in cognitive radio networks.In: Proc of IEEE Int Symposium on New Frontiers in Dynamic Spectrum Access Networks, Baltimore,Maryland,USA, Nov 2005
29	Ghasemi A , Sousa E . Collaborative spectrum sensing for opportunistic access in fading environments.In: Proc of IEEE Int Symposium on New Frontiers in Dynamic Spectrum Access Networks, Baltimore,Maryland,USA, Nov 2005
30	Gandetto M , Cattoni A F , Regazzoni C S . A distributed approach to mode identification and spectrum monitoring for cognitive radios.In: Proc of SDR Forum Technical Conference, Orange County,California,USA, Nov 2005
31	Gandetto M , Cattoni A F , Musso M , et al. Distributed cooperative mode identification for cognitive radio applications.In: Proc of International Radio Science Union（URSI）, New Delhi,India, Oct 2005
32	Gandetto M , Regazzoni C . Spectrum sensing:a distributed approach for cognitive terminals. IEEE J Select Areas Commun, 2007,25 （3）:546～557
33	Ghasemi A , Sousa E S . Collaborative spectrum sensing for opportunisticaccess in fading environments.In: Proc of IEEE Int Symp New Frontiers Dynamic Spectr,Access Networks, Baltimore,MD,USA, Nov 2005
34	Buddhikot M M , Kolodzy P , Miller S , et al. New directions in wireless networking using coordinated dynamic spectrum.In: Proc of IEEE Int Symp World of Wireless Mobile and Multimedia Networks, Baltimore,Maryland,USA, Jun 2005
35	Perez-Romero J , Sallent O Agusti R , et al. A novel ondemand cognitive pilot channel enabling dynamic spectrum allocation.In: Proc of IEEE Int Symposium on New Frontiers in Dynamic Spectrum Access Networks, Dublin,Ireland, 2007
36	Johann Chiang , Jim Lansford . Use of cognitive radio techniques for OFDM ultra wide band coexistence with WiMAX.In: Texas Wireless Symposium, 2005
37	Shridhar M M , Robert W B . Detect and avoid:an ultra-wideband/WiMAX coexistence mechanism. IEEE Communications Magazine, 2007 （7）:68～74
38	Somayazulu V , Foerster J , Roberts R . Detect and avoid mechanisms for UWB interference mitigation.In: Proceedings of IEEE Intl Conference on Ultra-Wideband （ICUWB）, Waltham,MA,USA, Sep 2006

Metrics

Recommended 0

No Suggested Reading articles found!

方法名称	优点	缺点
匹配滤波器	检测时间短，增益大	用户必须知道每一类授权用户的先验信息
能量检测器	准确度较高	判决门限较难确定，不适合弱信号检测
循环平稳检测法	检测性能好，能识别各类调制信号，适用于扩频信号检测	检测时间长，复杂度较高

方法名称	优点	缺点
频带释放法	简单，有足够的衰减	频带利用率低，只限制在跳频制式中使用
子载波空闲法	简单，任意数目的子载波空闲，保护窗的带宽范围为4～100 MHz	只有-20～-15 dB衰减
子载波空闲法+时域窗法	能成功得到-25 dB 的保护电平	大量的空闲间隔破坏了传输标准，实际中至少需要-28 dB衰减
子载波对消法	能得到超过-30 dB 的保护电平	计算量大
陷波滤波器法	能得到超过-30 dB 的保护电平，易用硬件实现	计算量大

[1]	Honghui JIN, Zhihua JIAN, Man YANG, Chao WU. Synthetic speech detection method using texture feature based on circumferential local ternary pattern [J]. Telecommunications Science, 2023, 39(6): 85-95.
[2]	Kun DENG, Qingfeng JIANG, Xingyan LIU. Community detection algorithm of hybrid node analysis and edge analysis in complex networks [J]. Telecommunications Science, 2023, 39(4): 87-100.
[3]	Jia CHEN, Jianwu ZHANG, Zheliang ZHANG. Spoof speech detection based on context information and attention feature [J]. Telecommunications Science, 2023, 39(2): 92-102.
[4]	Jia XU, Zhihua JIAN, Honghui JIN, Chao WU, Lin YOU, Yingxiao WU. Synthetic spoofing speech detection method based on center-symmetric local binary pattern [J]. Telecommunications Science, 2023, 39(1): 72-78.
[5]	Shan JIANG, Guocheng GONG, Tengyuan MA, Long XIAO. Intelligent temperature detection system based on“5G+AI” [J]. Telecommunications Science, 2022, 38(Z1): 194-202.
[6]	Lunlong ZHONG, Jiongpo LIU, Yongyu LIU. Induced spoofing detection method based on error valuation accumulation open-loop correction [J]. Telecommunications Science, 2022, 38(9): 116-128.
[7]	Jianwu ZHANG, Yanjun AN, Huangyan DENG. A survey on DNS attack detection and security protection [J]. Telecommunications Science, 2022, 38(9): 1-17.
[8]	Honglin JI, Xueyang LI, Zhixue HE, Weisheng HU, Shieh William. Advanced optical receiver architectures for ultra-high capacity but low-cost short-reach optical interconnects [J]. Telecommunications Science, 2022, 38(7): 43-56.
[9]	Haiyang HU, Zepin LI, Zhongjin LI. Feature enhancement and bilinear feature vector fusion for text detection of mobile industrial containers [J]. Telecommunications Science, 2022, 38(7): 75-87.
[10]	Jiaqi YU, Zhihua JIAN, Jia XU, Lin YOU, Yunlu WANG, Chao WU. Spoofing speech detection algorithm based on joint feature and random forest [J]. Telecommunications Science, 2022, 38(6): 91-99.
[11]	Le YU, Lidong ZHU, Liang JIN, Jiali LI, Yilun LIU, Cheng GUO. Generalized approximate message passing based SrCMA satellite receiver [J]. Telecommunications Science, 2022, 38(4): 77-89.
[12]	Tinglan WANG, Xingzheng LI, Yimin ZUO, Dongchen ZHANG. Analysis and avoidance method of 5G atmospheric duct interference [J]. Telecommunications Science, 2022, 38(4): 130-137.
[13]	Huahua CHEN, Zhe CHEN. Research on anomaly detection algorithm based on sparse variational autoencoder using spike and slab prior [J]. Telecommunications Science, 2022, 38(12): 65-77.
[14]	Weina ZHOU, Lu LIU. A real-time detection method for multi-scale ships in complex scenes [J]. Telecommunications Science, 2022, 38(10): 67-78.
[15]	Chongyang LIU, Rui GUO. SSCANL decoder based joint iterative detection and decoding algorithm [J]. Telecommunications Science, 2022, 38(10): 79-88.

A Survey of Detect and Avoid Technology of Dynamic Spectrum Access

RichHTML

PDF下载

Knowledge

Cited

Abstract

Cite this article

share this article

Figures/Tables 6

References 38

Related Articles 15

Metrics

Recommended 0