Joint TDOA-DOA localization scheme for passive coherent location systems

This work presents a new approach to airborne target localization in a passive radar system. Using a joint time-difference-of-arrival (TDOA) and direction-of-arrival (DOA) localization technique, each receiver is capable of estimating both TDOA and DOA information of a far distant signal source. This method uses the Ambiguity Function to detect time delay between direct and reflected signal and the multiple signals classification (MUSIC) algorithm to estimate the incident angle of the signal reflected by airborne target. This approach can successfully localize a target that is 70km away from the receiver. Computer simulations are provided to demonstrate the effectiveness of the proposed scheme.

[1]  Mikhail Cherniakov,et al.  Galileo signal-based bistatic system for avalanche prediction , 2003, IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477).

[2]  H. So,et al.  Passive Localization of Near-Field Sources With a Polarization Sensitive Array , 2007, IEEE Transactions on Antennas and Propagation.

[3]  Emanuela Falletti,et al.  SAM LOST smart antennas-based movable localization system , 2006, IEEE Transactions on Vehicular Technology.

[4]  C.J. Baker,et al.  Measurement and analysis of ambiguity functions of passive radar transmissions , 2005, IEEE International Radar Conference, 2005..

[5]  M. Palaniswami,et al.  Localization with orientation using RSSI measurements: RF map based approach , 2007, 2007 3rd International Conference on Intelligent Sensors, Sensor Networks and Information.

[6]  Seyed Alireza Zekavat,et al.  A Novel Wireless Local Positioning System via a Merger of DS-CDMA and Beamforming: Probability-of-Detection Performance Analysis Under Array Perturbations , 2007, IEEE Transactions on Vehicular Technology.

[7]  A. Brown,et al.  Integrated GPS/TOA Navigation using a Positioning and Communication Software Defined Radio , 2006, 2006 IEEE/ION Position, Location, And Navigation Symposium.

[8]  M. Acheroy,et al.  Optimum target detection using illuminators of opportunity , 2006, 2006 IEEE Conference on Radar.

[9]  P. E. Howland,et al.  FM radio based bistatic radar , 2005 .

[10]  Pak-Chung Ching,et al.  Time-of-arrival based localization under NLOS conditions , 2006, IEEE Transactions on Vehicular Technology.

[11]  Shengli Zhou,et al.  Signal Processing for Passive Radar Using OFDM Waveforms , 2010, IEEE Journal of Selected Topics in Signal Processing.

[12]  Harvey F. Silverman,et al.  A Linear Closed-Form Algorithm for Source Localization From Time-Differences of Arrival , 2008, IEEE Signal Processing Letters.

[13]  Kurt Kubik,et al.  Passive bistatic radar sensing with LEOS based transmitters , 2002, IEEE International Geoscience and Remote Sensing Symposium.

[14]  H. Griffiths,et al.  Passive coherent location radar systems. Part 1: performance prediction , 2005 .

[15]  Hongbo Sun,et al.  Passive radar using Global System for Mobile communication signal: theory, implementation and measurements , 2005 .

[16]  Gergely V. Záruba,et al.  Incorporating Data from Multiple Sensors for Localizing Nodes in Mobile Ad Hoc Networks , 2007, IEEE Transactions on Mobile Computing.