Maximum Likelihood Based ESM/Radar Track Association Algorithm in a New Modified Polar Coordinate

摘要

Association of radar and ESM tracks is an important component for multisensor-multitarget tracking systems. It is essential to the overall performance of a track fusion process. In this report, we present an ESM/track association algorithm in a new modified polar coordinate (MPC) system. The algorithm is based on a theoretical performance analysis of ESM/radar track association techniques in the MPC. Formulas for computing the correct and false association probabilities with and without state estimation biases are derived. We also discuss the effect of the number of observable states on association performance. The proposed algorithm uses a maximum likelihood (ML) algorithm for estimating the target states, of which the observable state estimates are subsequently used for the ESM/radar track association. Computer simulations are used to demonstrate the performance and improvement of the proposed ESM/radar track association method.