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突发通信信号的降维检测方法及带宽参数分析 被引量:2

One-Dimensional Detector for Burst Communication Signal and Analysis on Its Bandwidth Parameter
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摘要 在突发通信信号检测中,在频率、带宽进行二维搜索的检测方法计算量大,提出了可减少计算量的降维检测方法,该方法在单一检测带宽下进行频率搜索检测突发通信信号。对其带宽参数选择进行了分析。理论计算和仿真表明,降维检测器用于单一速率信号检测时,当检测带宽与信号带宽一致时具有与二维检测器相同的检测性能,当检测带宽与信号带宽相差一倍时,信噪比损失2dB左右;用于混合速率突发信号检测时,最佳带宽与速率的概率分布、信噪比等多种因素有关;对发送功率不变的各速率均匀分布的混合速率突发信号,检测带宽匹配于最大信号带宽可在较高信噪比时获得最高的平均检测概率。这些分析为降维检测器的带宽参数选择提供了依据。 In the detection of burst communication signals, the frequency-domain detector searches in both carrier location and bandwidth, and it demands large computational effort. An one-dimensional detector is proposed for reducing computational effort. The new detector searches signals with a specific bandwidth value. The optimum bandwidth is analyzed from theoritical calculation and Monte Carlo simulation. For single-rate signal detection, its best performance equivalent to two-dimensional detector is achieved when the detector bandwidth equals to the signal bandwidth. Correspondingly, there is about 2dB performance loss when the detector bandwidth is one time greater or smaller than signal bandwidth. For the mixed-rate signal detection, the optimum bandwidth in the sense of maximum mean detection probability is related to probability of distribution of rate series, signal-to-noise ratio and other factors. In case all rates have the same transmit power and are uniformly distributed, the detector achieves maximum mean detection probability at relative high signal-to-noise when detector bandwidth approaches the maximum rate' s bandwidth. The analysis facilitates the selection of the one-dimensional detector bandwidth parameter.
作者 胡亚 吴嗣亮
出处 《宇航学报》 EI CAS CSCD 北大核心 2012年第9期1295-1300,共6页 Journal of Astronautics
关键词 突发通信信号 降维检测器 最佳带宽 检测概率 混合速率 Burst communication signal One-dimensional detector Optimum bandwidth Detection probability Mixed-rate
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参考文献12

  • 1Wasif M, Elahi M, Sangahavi C. Analysis and implementation of adaptive modem for SDR [ C ]. International Conference on Wireless Communications, Networking and Mobile Computing, ShangHai,China, Sept 21 -25, 2007.
  • 2Rinne J, Hazmi A, Renfors M. Impulse burst position detection and channel estimation schemes for OFDM systems[ J ]. IEEE Trans. on Consumer Electronics, 2003, 49 (3) : 539 - 545.
  • 3Cherriman P, Kuan E, Hanzo L. Burst-by-burst adaptive joint detection CDMA/H. 263 based video telephony [ J ]. IEEE Trans. on Circuits and Systems for Video Technology, 2002, 12 (5) : 342 - 348.
  • 4Urkowitz H. Energy detection of unknown deterministic signals [J]. Proceddings of IEEE,1967, 55(4): 523-531.
  • 5Kostylev V I. Energy detection of a signal with random amplitude [ C]. IEEE International Conference on Communications , New York City, Apr 28 - May 2,2002.
  • 6Salt J E, Nguyen H H. Performance prediction for energy detection of unknown signals [J].IEEE Trans. on Vehicular Technology,2008, 57(6) : 3900-3904.
  • 7Liu Y, Zeng C, Wang H, et al. Energy detection thresholdoptimization for cooperative spectrum sensing [ C ]. International Conference on Advanced Computer Control, ShenYang, China, March 27 -29, 2010.
  • 8Gezici S, Sahinoglu Z, Poor H V. On the optimality of equal gain combining for energy detection of unknown signals[J]. IEEE Communications Letters,2006, 10 ( 11 ) : 772 - 774.
  • 9Digham F F, Alouini M, Simon M K. On the energy detection of unknown signals over fading channels[ J]. IEEE Transactions on Communications,2007, 55 ( 1 ) : 21 - :24. [J].
  • 10Tandra R, Sahai A. SNR walls for signal detection [ J ]. IEEE Journal of Selected Topics in Signal Processing, 2008, 2 ( 1 ) : 4 -17.

二级参考文献12

  • 1Wasif M, Elahi M, Sangahavi C. Analysis and implementation of adaptive modem for SDR[C]//Proceedings of Wireless Communications, Networking and Mobile Computing. [S.l. ]: IEEEPress, 2007:1248-1251.
  • 2Rinne J, Hazmi A, Renfors M. Impulse burst position detection and channel estimation schemes for OFDM systems[J]. IEEE Trans on Consumer Electronics, 2003,49(3):539 - 545.
  • 3Cherriman P, Kuan E, Hanzo L. Burst-by-burst adaptive joint detection CDMA/H. 263 based video telephony[J]. IEEE Trans on Circuits and Systems for Video Technology, 2002,12(5) :342 - 348.
  • 4Ying Y, Ghogho M. Optimal pilot placement for frequency offset estimation and data detection in burst transmission systems [ J ]. IEEE Communications Letters, 2005,9(6) :549 - 551.
  • 5Wang Z, Willett P. All-purpose and plug-in power law detectors for transient signals[J]. IEEE Transactions on Signal Processing, 2001,49(11) :2454 - 2466.
  • 6Wang Z, Willett P. Improved power-law detection of transients [C]// Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing. [S. l.]: IEEE, 2001: 3181 - 3184.
  • 7Plett M I. Transient detection with cross wavelet transforms and wavelet coherence [J]. IEEE Transactions on Signal Processing, 2007, 55 (5): 1605 - 1611.
  • 8Shujun X, Ying W. The detection of transient signals based on gabor transform [C] // Proceedings of International Conference on Signal Processing. [S. l. ]: IEEE, 2006:301 - 305.
  • 9So H C, Ma W K, Chan Y T. Detection of random signals via spectrum matching[J]. IEEE Transaction on Aerospace and Elctronic Systems, 2002, 38 ( 1 ) : 301 - 307.
  • 10So H C, Chan Y T, Ma Q, et al. Comparison of various periodograms for sinusoid detection and frequency estimation [J]. IEEE Transactions on Aerospace and Electronic Systems, 1999, 35 (3) : 945 - 952.

共引文献3

同被引文献20

  • 1YING Y, GHOGHO M. Optimal pilot placement for fre-quency offset estimation and data detection in burst trans-mission systems [ J ] . IEEE CommunicationsLetters,2005, 9(6) ; 549-551.
  • 2DUAN Lili, ZHANG Lei. Cooperative Spectrum Sensingwith Double Threshold Detection Based on Reputation inCognitive Radio [ C ]//5th International Conference onWireless Communications, Networking and Mobile Com-puting. Beijing ; IEEE Press, 2009: 1-4.
  • 3DIGHAM F F, ALOUINI, et al. On the energy detectionof unknown signal over fading channels[ J]. IEEE Transon Communications, 2007,55(1) : 21-24.
  • 4SAHIN Mustafa E, GUVENG Ismail, ARSLAN Huseyin.Opportunity Detection for OFDMA-Based Cognitive RadioSystems with Timing Misalignment [ J ]. IEEE Trans onWireless Communications, 2009, 8( 10) : 5300-5313.
  • 5DERAKHSHANI M, THO L N, NASIKI-KENARI M.Efficient Cooperative Cyclostationary Spectrum Sensing inCognitive Radios at LowSNR Regimes [ J ]. IEEE Transon Wireless Communications, 2011,10 ( 11 ) : 3754-3764.
  • 6URKOWITZ H. Energy detection of unknown deterministic signals [ J]. Proceedings of IEEE, 1967, 55(4) : 523 - 531.
  • 7KOSTYLEV V I. Energy detection of a signal with random amplitude [ C]// Proceedings of the 2002 IEEE International Conference on Communications. Piscataway, NJ: IEEE, 2002,3: 1606-1610.
  • 8SALT J E. NGUYEN H H. Performance prediction for energy detection of unknown signals [ J]. IEEE Transactions on Vehicular Technology, 2008, 57(6) : 3900 - 3904.
  • 9LIU Y, ZENG C, WANG H, et al. Energy detection threshold optimization for cooperative spectrum sensing [ C]//Proceedings of the 2010 IEEE 2nd International Conference on Advanced Computer Control. Piscataway, NJ: IEEE, 2010:566-570.
  • 10GEZICI S, SAHINGLU Z, POOR H V. On the optimality of equal gain combining for energy detection of unknown signals [ J]. IEEE Communications Letters, 2006, 10(11) : 772 -774.

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