Nonlinear Approximation Algorithm for Object Trajectory Estimation in MLAT Systems

The paper presents an algorithm for estimating the parameters of radio-emission source trajectories for multi-position passive radar complexes. The algorithm is based on a nonlinear approximation of a sample of observations on the time interval by the criterion of the minimum of the root-mean-square error of the state vector estimation. The peculiarity of the algorithm is more complete use of the information contained in the observations, due to the use of incomplete sets of simultaneous measurements. The performance and quality of the proposed algorithm have been tested by computer simulation. This paper considers the algorithm under the assumption of linear uniform motion of the radio radiation source over the observation interval (first-order dynamics model). However, the proposed algorithm can be extended to higher-order models in order to estimate the parameters of the trajectories of maneuvering objects. Thus, based on the proposed algorithm, it is possible to construct multi-channel adaptive algorithms for constructing trajectories with random dynamics.