Rashid Ghorbani Afkhami - Faculty of Electrical and Computer Engineering,University of TabrizTabriz, Iran
Ali Dadashzadeh - Faculty of Electrical and Computer Engineering,University of TabrizTabriz, Iran
Kazem Haydari - Faculty of Electrical and Computer Engineering,University of TabrizTabriz, Iran
Rahman Salamat - Department of Electrical Engineering,Imam Hossein UniversityTehran, Iran

Accurate geo-location of targets are extremely important in electronic warfare systems. In this paper we propose the use of probability density matrix (PDM), which is the sampled probability density function of observations, to evaluate the azimuth and elevation measurements of sensor arrays. The three dimensional joint probability density matrix of the observations will have the sufficient information to extract the location of the target. We also propose a localization algorithm to efficiently adapt the PDM domain with the latest estimation points and decrease the computational complexity. The simulation results indicate that with appropriate settings the localization algorithm can reduce the estimation error about 50%.

Angle of arrival, Direction Finding, Geo-location,Probability density