This study studies are error registration algorithm for the maneuvering radar network, which is one of the difficult problems of multi-sensor registration. When the maneuvering radar has no orientation bias, measurement equations of both attitude bias and measurement bias can be established by using the common targets observed by different radars. Based on the equations, the real-time estimation of both attitude bias and measurement bias can be obtained with the twofold unscented Kalman filter. The results show that the method has a fast convergence rate. When the distance of the sensors is very long, both the absolute registration and the relative registration of attitude bias and measurement bias can be implemented.
