Single-Observer Passive Coherent Location Estimation Based on DOA and TDOA

The growing importance of electronic warfare and information warfare in the modern military field has made localization methods based on passive coherent radar a research hotspot. This paper addresses the problem of how to achieve a fixed target location with a single station receiving a plurality of the external illumination. The joined direction of arrival(DOA) and time difference of arrival(TDOA) are used to construct a probability density function of the measurement error. A Newton iterative method is then used to solve the maximum likelihood(ML) for target position estimation. The initial iteration value is given by a least squares(LS) algorithm. Experimental simulations show that the Cramer-Rao Bound(CRB) for positioning system joint DOA and TDOA information is lower than that of TDOA system. The resulting error in the proposed algorithm is close to the CRB. By means of the UDOP figures we know that the main factors affecting positioning accuracy are measurement errors and the position of the target.