NLS-based Registration Algorithm for Bearings-Only Location by Multiple Airborne Observers
Xu Zheng · Signal Processing · 2012
Registration for passive sensors on multiple airborne observers is one of difficult multi-sensor registration problems.The accuracy of location will be severely affected when the measurements taken by passive sensors consist of systematic biases without registration.A registration algorithm based on nonlinear least-squares(NLS) for bearings-only location by multiple airborne observers is proposed.The algorithm regards registration for multiple airborne bearings-only observers as an NLS problem,and solves it by Gauss-Newton Method.Firstly,linearize the measurement equations and estimate the parameters using the general least-squares method.Then execute the iterative procedure until the estimated parameters converge to optimal estimations.Simulation results show that,given enough measurements,the NLS-based registration algorithm proposed here can effectively estimate the systemic biases as well as the position of the target with the location error reaching the Cramer-Rao bound(CRLB) when compared with EKF-based registration algorithm.