Recursive geolocation with Time Differences of Arrival

Geolocation has particular interest and importance in Electronic Warfare. In this work, Time Difference of Arrival (TDOA) Geolocation is studied. A recursive least squares filter based algorithm has been developed. Location estimation is updated using TDOA measurement sets from moving receivers under the assumption of fixed emitter location. Moreover, simulation results and comments are given at the end of the text.

[1]  Monson H. Hayes,et al.  Statistical Digital Signal Processing and Modeling , 1996 .

[2]  K. Dogancay,et al.  Bias Compensation for Least-Squares Multi-Pulse TDOA Localization Algorithms , 2005, 2005 International Conference on Intelligent Sensors, Sensor Networks and Information Processing.

[3]  Rolf Johansson,et al.  System modeling and identification , 1993 .

[4]  Don Torrieri,et al.  Statistical Theory of Passive Location Systems , 1984, IEEE Transactions on Aerospace and Electronic Systems.

[5]  Douglas A. Gray,et al.  Closed-form estimators for multi-pulse TDOA localization , 2005, Proceedings of the Eighth International Symposium on Signal Processing and Its Applications, 2005..

[6]  J. Bard,et al.  An algebraic solution to the time difference of arrival equations , 1996, Proceedings of SOUTHEASTCON '96.

[7]  Branko Ristic,et al.  Recursive estimation of emitter location using TDOA measurements from two UAVs , 2007, 2007 10th International Conference on Information Fusion.

[8]  J. Smith,et al.  The spherical interpolation method of source localization , 1987 .

[9]  K. C. Ho,et al.  A simple and efficient estimator for hyperbolic location , 1994, IEEE Trans. Signal Process..

[10]  WADE FOY,et al.  Position-Location Solutions by Taylor-Series Estimation , 1976, IEEE Transactions on Aerospace and Electronic Systems.

[11]  Richard A Poisel.  Electronic Warfare Target Location Methods , 2005 .

[12]  H.A. Schmitt,et al.  TDOA Geolocation with the Unscented Kalman Filter , 2006, 2006 IEEE International Conference on Networking, Sensing and Control.