A real-time alignment algorithm based on Kalman filter

Alignment problem is a prerequisite process for data fusion of the radar networking. Classical registration algorithms are always proposed for fixed radars, which can't solve the alignment problem of the mobile radars ignoring attitude and attitude errors. This problem is studied in this paper. Using Taylor series, the linear model between the measurements and the errors are derived, and then a new real-time alignment algorithm for mobile radars is proposed based on Kalman filter. Finally, the effectiveness of this algorithm is conformed by simulation