Radar Sensor Networks: Algorithms for Waveform Design and Diversity with Application to ATR with Delay-Doppler Uncertainty
© Qilian Liang. 2007
Received: 30 May 2006
Accepted: 29 November 2006
Published: 15 January 2007
Automatic target recognition (ATR) in target search phase is very challenging because the target range and mobility are not yet perfectly known, which results in delay-Doppler uncertainty. In this paper, we firstly perform some theoretical studies on radar sensor network (RSN) design based on linear frequency modulation (LFM) waveform: (1) the conditions for waveform coexistence, (2) interferences among waveforms in RSN, (3) waveform diversity in RSN. Then we apply RSN to ATR with delay-Doppler uncertainty and propose maximum-likeihood (ML) ATR algorithms for fluctuating targets and nonfluctuating targets. Simulation results show that our RSN vastly reduces the ATR error compared to a single radar system in ATR with delay-Doppler uncertainty. The proposed waveform design and diversity algorithms can also be applied to active RFID sensor networks and underwater acoustic sensor networks.
- Johnson RA, Titlebaum EL: Range-doppler uncoupling in the doppler tolerant bat signal. Proceedings of IEEE Ultrasonics Symposium, October 1972, Boston, Mass, USA 64-67.
- Sowelam SM, Tewfik AH: Waveform selection in radar target classification. IEEE Transactions on Information Theory 2000,46(3):1014-1029. 10.1109/18.841178MATHView Article
- Baggenstoss PM: Adaptive pulselength correction (APLECORR): a strategy for waveform optimization in ultrawideband active sonar. IEEE Journal of Oceanic Engineering 1998,23(1):1-11. 10.1109/48.659444View Article
- Kershaw DJ, Evans RJ: Optimal waveform selection for tracking systems. IEEE Transactions on Information Theory 1994,40(5):1536-1550. 10.1109/18.333866MATHView Article
- Niu R, Willett P, Bar-Shalom Y: Tracking considerations in selection of radar waveform for range and range-rate measurements. IEEE Transactions on Aerospace and Electronic Systems 2002,38(2):467-487. 10.1109/TAES.2002.1008980View Article
- Sun Y, Willett P, Lynch R: Waveform fusion in sonar signal processing. IEEE Transactions on Aerospace and Electronic Systems 2004,40(2):462-477. 10.1109/TAES.2004.1309997View Article
- Skolnik MI: Introduction to Radar Systems. 3rd edition. McGraw Hill, New York, NY, USA; 2001.
- Deng H: Synthesis of binary sequences with good auto-correlation and cross-correlation properties by simulated annealing. IEEE Transactions on Aerospace and Electronic Systems 1996,32(1):98-107.View Article
- Liang Q: Waveform design and diversity in radar sensor networks: theoretical analysis and application to automatic target recognition. Proceedings of International Workshop on Wireless Ad Hoc and Sensor Networks (IWWAN '06), June 2006, New York, NY, USA
- Richards MA: Fundamentals of Radar Signal Processing. McGraw-Hill, New York, NY, USA; 2005.
- Lin CR, Gerla M: Adaptive clustering for mobile wireless networks. IEEE Journal on Selected Areas in Communications 1997,15(7):1265-1275. 10.1109/49.622910View Article
- Iwata A, Chiang C-C, Pei G, Gerla M, Chen T-W: Scalable routing strategies for ad hoc wireless networks. IEEE Journal on Selected Areas in Communications 1999,17(8):1369-1379. 10.1109/49.779920View Article
- Hou T-C, Tsai T-J: An access-based clustering protocol for multihop wireless ad hoc networks. IEEE Journal on Selected Areas in Communications 2001,19(7):1201-1210. 10.1109/49.932689View Article
- Steenstrup M: Cluster-based networks. In Ad Hoc Networking. Edited by: Perkins C. Addison-Wesley, Reading, Mass, USA; 2001:75-138. chapter
- Swerling P: Probability of detection for fluctuating targets. IEEE Transactions on Information Theory 1960,6(2):269-308. 10.1109/TIT.1960.1057561MathSciNetView Article
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