A real-time registration algorithm for passive sensors with TOA and angle biases

On the basis of analysis the double observers passive location principle, this paper presents a real-time algorithm in order to deal with the sensor registration problem while the sensors can get the TOA(Time of Arrival) and angle measurements. By constructing the equivalent measurement, the algorithm can online estimate the TOA and Angle bias using Kalman Filter(KF). Finally, the Monte-Carlo simulation result shows that the algorithm can estimate the sensor bias effectively with a high estimation precision and steady performance, all of these indicate that the algorithm is importance for engineering application.