System Error Real-Time Estimation of Radar Network based on Iterative Generalized Least Squares

Because system error may cause the same target measured by different radar to be misjudged as two targets, the system error estimation is an important process for data fusion and target tracking in radar networking system. In order to eliminate system error in real time, a new algorithm based on iterative generalized least squares (GLS) algorithm in earth-centered earth-fixed (ECEF) coordinate systems(CS) is studied in this paper. In this method the system error is modeled by state vector, and the corresponding state equation is obtained. The measurement equation is modeled based on GLS algorithm, and the iterative estimation filtering model is used to improve the real-time and convergent performance of the system error estimation in ECEF. Simulation results reveal the feasibility and validity of the algorithm presented in this paper.