The Community for Technology Leaders
RSS Icon
Subscribe
Issue No.11 - November (2011 vol.22)
pp: 1926-1933
Jing Liang , University of Texas at Arlington, Arlington
Qilian Liang , University of Texas at Arlington, Arlington
ABSTRACT
In this paper, we design a network of distributed radar sensors that work in an ad hoc fashion, but are grouped together by an intelligent clusterhead. This system is named Radar Sensor Network (RSN). A RSN not only provides spatial resilience for target detection and tracking compared to traditional radars, but also alleviates inherent radar defects such as the blind speed problem. This interdisciplinary area offers a new paradigm for parallel and distributed sensor research. We propose both coherent and noncoherent RSN detection systems applying selection combination algorithm (SCA) performed by clusterhead to take the advantage of spatial diversity. Monte Carlo simulations show that proposed RSN can provide much better detection performance than that of single radar sensor for fluctuating targets, in terms of probability of false alarm and miss detection. We also analyze the impact of Doppler shift on both coherent and noncoherent RSN detection systems at the presence of clutter. The result is that the coherent system is more robust to the noncoherent RSN.
INDEX TERMS
Distributed sensor, radar sensor networks, system design, selection combination algorithm.
CITATION
Jing Liang, Qilian Liang, "Design and Analysis of Distributed Radar Sensor Networks", IEEE Transactions on Parallel & Distributed Systems, vol.22, no. 11, pp. 1926-1933, November 2011, doi:10.1109/TPDS.2011.45
REFERENCES
[1] F.L. Chevalier, Principles of Radar and Sonar Signal Processing. Artech House, 2002.
[2] A.L. Hume and C.J. Baker, "Netted Radar Sensing," Proc. IEEE Radar Conf., pp. 23-26, May 2001.
[3] S. Haykin, "Cognitive Radar Networks," Proc. First IEEE Int'l Workshop Computational Advances in Multi-Sensor Adaptive Processing, pp. 1-3, Dec. 2005.
[4] P.K. Dutta, A.K. Arora, and S.B. Bibyk, "Towards Radar-Enabled Sensor Networks," Proc. Fifth Int'l Conf. Information Processing in Sensor Networks, pp. 467-474, Apr. 2006.
[5] P. Withington, H. Fluhler, and S. Nag, "Enhancing Homeland Security with Advanced Radar Sensors," IEEE Microwave Magazine, vol. 4, no. 3, pp. 51-58, Sept. 2003.
[6] H. Frey and D. Görgen, "Geographical Cluster-Based Routing in Sensing-Covered Networks," IEEE Trans. Parallel and Distributed Systems, vol. 17, no. 9, pp. 899-911, Sept. 2006.
[7] O. Younis and S. Fahmy, "Distributed Clustering in Ad Hoc Sensornetworks: A Hybrid, Energy-Efficient Approach," Proc. IEEE INFOCOM, pp. 629-640, Mar. 2004.
[8] L. Ramaswamy, B. Gedik, and L. Liu, "A Distributed Approach to Node Clustering in Decentralized Peer-to-Peer Networks," IEEE Trans. Parallel and Distributed Systems, vol. 16, no. 9, pp. 814-829, Sept. 2005.
[9] Q. Liang, "Clusterhead Election for Mobile Ad Hoc Wireless Network," Proc. IEEE 14th Personal, Indoor and Mobile Radio Comm. (PIMRC '03), Sept. 2003.
[10] C. Liu, K. Wu, Y. Xiao, and B. Sun, "Random Coverage with Guaranteed Connectivity: Joint Scheduling for Wireless Sensor Networks," IEEE Trans. Parallel and Distributed Systems, vol. 17, no. 6, pp. 562-575, June 2006.
[11] Radar Array Processing, S. Haykin, J. Litva, and T.J. Shepherd, eds., first ed. Springer-Verlag, 1993.
[12] R.C. Hansen, Radar Array Antennas. John Wiley, 1998.
[13] E. Fishler, A. Haimovich, R.S. Blum, L.J. Cimini, D. Chizhik, and A. Valenzuela, "Spatial Diversity in Radars—Models and Detection Performance," IEEE Trans. Signal Processing, vol. 54, no. 3, pp. 823-838, Mar. 2006.
[14] E. Fishler, A. Haimovich, R.S. Blum, L.J. Cimini, D. Chizhik, and A. Valenzuela, "MIMO Radar: An Idea Whose Time Has Come," Proc. IEEE Radar Conf., pp. 71-78, Apr. 2004.
[15] F.C. Robey, S. Coutts, D. Weikle, J.C. McHarg, and K. Cuomo, "MIMO Radar Theory and Experimental Results," Proc. 38th Asilomar Conf. Signals, Systems and Computers, vol. 1, pp. 300-304, Nov. 2004.
[16] K. Forsythe, D. Bliss, and G. Fawcett, "Multiple-Input Multiple-Output (MIMO) Radar: Performance Issues," Proc. 38th Asilomar Conf. Signals, Systems and Computers, vol. 1, pp. 310-315, Nov. 2004.
[17] J. Li and P. Stoica, "MIMO Radar-Diversity Means Superiority," Proc. 14th Ann. Workshop Adaptive Sensor Array Processing, June 2006.
[18] L. Xu, J. Li, and P. Stoica, "Adaptive Techniques for MIMO Radar," Proc. Fourth IEEE Workshop Sensor Array and Multi-Channel Processing, July 2006.
[19] L. Xu, J. Li, P. Stoica, K.W. Forsythe, and D.W. Bliss, "Waveform Optimization for MIMO Radar: A Cramer-Rao Bound Based Study," Proc. IEEE Int'l Conf. Acoustics, Speech, and Signal Processing (ICASSP), Apr. 2007.
[20] Y. Yang and R.S. Blum, "MIMO Radar Waveform Design Based on Mutual Information and Minimum Mean-Square Error Estimation," IEEE Trans. Aerospace and Electronic Systems, vol. 43, no. 1, pp. 330-342, Jan. 2007.
[21] J. Liang, Q. Liang, and Z. Zhou, "Radar Sensor Network Design and Optimization for Blind Speed Alleviation," Proc. Wireless Comm. and Networking Conf. (WCNC), pp. 2643-2647, Mar. 2007.
[22] Q. Liang, "Waveform Design and Diversity in Radar Sensor Networks: Theoretical Analysis and Application to Automatic Target Recognition," Proc. Third Ann. IEEE Comm. Soc. on Sensor and Ad Hoc Comm. and Networks, (SECON '06), vol. 2, pp. 684-689, Sept. 2006.
[23] H. Shu and Q. Liang, "Data Fusion in a Multi-Target Radar Sensor Network," Proc. IEEE Radio and Wireless Symp., pp. 129-132, Jan. 2007.
[24] J. Liang and Q. Liang, "Orthogonal Waveform Design and Performance Analysis in Radar Sensor Networks," Proc. IEEE Military Comm. Conf., pp. 1-6, Oct. 2006.
[25] H. Ly and Q. Liang, "Collaborative Multi-Target Detection in Radar Sensor Networks," Proc. IEEE Military Comm. Conf. (MILCOM), pp. 1-7, Oct. 2007.
[26] H. Ly and Q. Liang, "Spatial-Temporal-Frequency Diversity in Radar Sensor Networks," Proc. IEEE Military Comm. Conf. (MILCOM), pp. 1-7, Oct. 2006.
[27] Q. Liang, "Automatic Target Recognition Using Waveform Diversity in Radar Sensor Networks," Pattern Recognition Letters, vol. 29, no. 3, pp. 377-381, 2008.
[28] H. Ly and Q. Liang, "Diversity in Radar Sensor Networks: Theoretical Analysis and Application to Target Detection," Int'l J. Wireless Information Networks, vol. 16, no. 4, pp. 209-216, 2009.
[29] Q. Liang, "Radar Sensor Networks: Algorithms for Waveform Design and Diversity with Application to ATR with Delay-Doppler Uncertainty," EURASIP J. Wireless Comm. and Networking, vol. 2007, no. 1, pp. 1-9, 2007.
[30] H. Le and Q. Liang, "Situation Assessment via Multi-Target Identification and Classification in Radar Sensor Networks," Proc. IEEE Military Comm. Conf. (MILCOM), Oct. 2009.
[31] J. Liang and Q. Liang, "Sense-through-Foliage Target Detection Using UWB Radar Sensor Networks," Pattern Recognition Letter, vol. 31, no. 11, pp. 1412-1421, 2010.
[32] J. Liang, Q. Liang, and S.W. Samn, "A Differential Based Approach for Sense-through-Foliage Target Detection Using UWB Radar Sensor Networks," Proc. IEEE Int'l Conf. Comm. (ICC '09), pp. 1952-1956, 2008.
[33] J. Liang and Q. Liang, "UWB Radar Sensor Networks Detection of Targets in Foliage Using Short-Time Fourier Transform," Proc. IEEE Int'l Conf. Comm. (ICC '09), pp. 1-5, 2009.
[34] M.A. Richards, Fundamentals of Radar Signal Processing. Tata McGraw-Hill Education, 2005.
[35] D.G. Brennan, "Linear Diversity Combining Techniques," Proc. IEEE, vol. 91, no. 2, pp. 331-356, Feb. 2003.
[36] M.I. Skolnik, Introduction to Radar Systems, third ed. McGraw Hill, 2001.
[37] N. Levanon, Radar Principles. Wiley, 1988.
[38] J.T. Schaefer, "The Critical Success Index as an Indicator of Warning Skill," Weather and Forecasting, vol. 5, pp. 570-575, Dec. 1990.
21 ms
(Ver 2.0)

Marketing Automation Platform Marketing Automation Tool