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Volume 33 Issue 3
Mar.  2011
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Wang Rui, Yi Hui-Yue, Hu Hong-Lin. An Efficient Cooperative Sensing Algorithm for Radar Pulse Train Detection in Radar-communication Coexistence System[J]. Journal of Electronics & Information Technology, 2011, 33(3): 521-526. doi: 10.3724/SP.J.1146.2010.00479
Citation: Wang Rui, Yi Hui-Yue, Hu Hong-Lin. An Efficient Cooperative Sensing Algorithm for Radar Pulse Train Detection in Radar-communication Coexistence System[J]. Journal of Electronics & Information Technology, 2011, 33(3): 521-526. doi: 10.3724/SP.J.1146.2010.00479

An Efficient Cooperative Sensing Algorithm for Radar Pulse Train Detection in Radar-communication Coexistence System

doi: 10.3724/SP.J.1146.2010.00479
  • Received Date: 2010-05-14
  • Rev Recd Date: 2010-09-06
  • Publish Date: 2011-03-19
  • For a cognitive radio communication system coexisting with radar to access the radar spectrum opportunistically, an efficient Cooperative Sensing Algorithm (CSA) for swept radar pulse train is proposed. There is a central processing node which cooperates with other sensing nodes to sense a radar spectrum channel. Moreover, the similarity judgment of the single node and data fusion based on time-series identification of the central processing node can greatly improve the probability of detection and reduce the probability of false alarm. Compared to existing methods of sensing radar signal, the proposed algorithm can quickly and reliably detect swept radar pulse train without any prior information on the radar. At the same time, the radar parameters, such as rotation period, scanning direction, distance etc., can be acquired. Finally, simulation results show the effectiveness and correctness of the algorithm.
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  • Rec. ITU-R M.1652 1. Dynamic frequency selection (DFS) in wireless access systems including radio local area networks for the purpose of protecting the radio determination service in the 5 GHz band [S]. 2003.[2] Rec. ITU-R.M. 2034. Impact of radar detection requirements of dynamic frequency selection on 5 GHz wireless access system receivers [S]. 2003.[3] Rec. ITU-R.M. 2115. Testing procedures for implementation of dynamic frequency selection [S]. 2007.[6]Yucek T and Arslan H. A survey of spectrum sensing algorithms for cognitive radio applications [J].IEEE Communications Surveys Tutorials.2009, 11(1):116-130[7]Jeong S S, Jeon W S, and Jeong D G. Collaborative spectrum sensing for multiuser cognitive radio systems [J].IEEE Transactions on Vehicular Technology.2009, 58(5):2564-2569[8]Letaief K B and Zhang W. Cooperative communications for cognitive radio networks [J].Proceedings of the IEEE.2009, 97(5):878-893[10]Ohsumi A, Ijima H, and Kuroishi T, et al.. Online detection of pulse sequence in random noise using a wavelet [J].IEEE Transactions on Signal Processing.1999, 47(9):2526-2531
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