Multi-sensor networking system spatial registration algorithm

Sensor registration is used to system bias estimation and compensation by means of measurements of multi-sensors to spatial common target.Some classical registration algorithms are all based on the stereographic projection,which introduce errors to the registration of the long distance sensors.In this work,we establish multi-sensor dynamic system bias estimation model,which is based on coordinate system of ECEF and selecting a senor as data processing center.This new approach solves the problem of registration between the long distance sensors.Least squares and generalized least squares registration algorithm can’t do competent real time to dynamical bias registration.We suggest that the sensor bias estimates are obtained dynamically by using sequential process of Kalman filter,the result shows it can solve the registration problem effectively.