Non-cooperative burst detection and synchronisation in downlink TDMA-based wireless communication networks

作者: Maryam Zebarjadi , Mehdi Teimouri

DOI: 10.1049/IET-COM.2018.5536

关键词: Detection theoryBurst transmissionTelecommunications linkTime division multiple accessWirelessEavesdroppingComputer scienceCognitive radioReal-time computingSynchronization

摘要: Blind signal detection is very important in various applications such as cognitive radio, spectrum surveillance, and eavesdropping. This gets trickier when one needs to deal with burst signals (as opposed continuously transmitted signals) non-cooperative environments. Here, existing methods for are studied developed use detection. For the special case of downlink time division multiple access (TDMA) transmission, performances these improved by proposing a blind synchronisation algorithm which applied output result algorithms. The results Monte-Carlo simulations demonstrate performance proposed

参考文章(30)
M.P. Olivieri, G. Barnett, A. Lackpour, A. Davis, Phuong Ngo, A scalable dynamic spectrum allocation system with interference mitigation for teams of spectrally agile software defined radios First IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks, 2005. DySPAN 2005.. pp. 170- 179 ,(2005) , 10.1109/DYSPAN.2005.1542632
Paolo Burzigotti, Alberto Ginesi, Giulio Colavolpe, Advanced receiver design for satellite‐based automatic identification system signal detection International Journal of Satellite Communications and Networking. ,vol. 30, pp. 52- 63 ,(2012) , 10.1002/SAT.1007
Danijela Cabric, Artem Tkachenko, Robert Brodersen, Spectrum Sensing Measurements of Pilot, Energy, and Collaborative Detection military communications conference. pp. 2342- 2348 ,(2006) , 10.1109/MILCOM.2006.301994
Stefan Geirhofer, Lang Tong, Brian Sadler, COGNITIVE RADIOS FOR DYNAMIC SPECTRUM ACCESS - Dynamic Spectrum Access in the Time Domain: Modeling and Exploiting White Space IEEE Communications Magazine. ,vol. 45, pp. 66- 72 ,(2007) , 10.1109/MCOM.2007.358851
Ying-Jun Yuan, Xiang Wang, Zhi-Tao Huang, Zhi-Chao Sha, Detection of Radio Transient Signal Based on Permutation Entropy and GLRT Wireless Personal Communications. ,vol. 82, pp. 1047- 1057 ,(2015) , 10.1007/S11277-014-2265-2
Stefan Geirhofer, Lang Tong, Brian Sadler, A Measurement-Based Model for Dynamic Spectrum Access in WLAN Channels military communications conference. pp. 2150- 2156 ,(2006) , 10.1109/MILCOM.2006.302405
Octavia Dobre, Signal identification for emerging intelligent radios: classical problems and new challenges IEEE Instrumentation & Measurement Magazine. ,vol. 18, pp. 11- 18 ,(2015) , 10.1109/MIM.2015.7066677
Lee R. Dice, Measures of the Amount of Ecologic Association Between Species Ecology. ,vol. 26, pp. 297- 302 ,(1945) , 10.2307/1932409
Yonghong Zeng, Ying-Chang Liang, Maximum-Minimum Eigenvalue Detection for Cognitive Radio 2007 IEEE 18th International Symposium on Personal, Indoor and Mobile Radio Communications. pp. 1- 5 ,(2007) , 10.1109/PIMRC.2007.4394211
Sui Dan, Xu Xiaojian, Wang Jing, A novel presence detector for burst signals based on the fluctuation of the correlation function IEEE 10th INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS. pp. 1628- 1631 ,(2010) , 10.1109/ICOSP.2010.5656467