Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Radar Sensor Networks: Algorithms for Waveform Design and Diversity with Application to ATR with Delay-Doppler Uncertainty | Hindawi Publishing Corporation EURASIP Journal on Wireless Communications and Networking Volume 2007 Article ID 89103 9 pages doi 2007 89103 Research Article Radar Sensor Networks Algorithms for Waveform Design and Diversity with Application to ATR with Delay-Doppler Uncertainty Qilian Liang Department of Electrical Engineering University of Texas at Arlington Room 518 416 Yates Street Arlington TX 76019-0016 USA Received 30 May 2006 Revised 28 November 2006 Accepted 29 November 2006 Recommended by Xiuzhen Cheng 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. Copyright 2007 Qilian Liang. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. 1. INTRODUCTION AND MOTIVATION The goal for any target recognition system is to give the most accurate interpretation of what a target is at any given point in time. There are two classes of motion models of targets one for maneuvering targets and one for nonmaneuvering constant velocity and acceleration targets. The area that is still lacking in .
