Bias estimation for multiple passive sensors

In this paper, we propose a novel registration algorithm for bias estimation in multiple passive sensors. The decoupling between the target state estimation and sensor bias estimation is achieved by cross location technique. The Monte Carlo simulation results show that this method is statistically efficient for bias estimation and can improve the fusion precision remarkably, e.g. it is close to CRLB.