Abstract:

Compared with those registration problems of active sensors or dissimilar sensors on multiple moving airborne platforms, the registration problem for passive sensors on different airborne platforms will become more complex owing to missing range measurement, and there is little relative literature. Thus, firstly, the biased measurement model for passive sensors based on world geodetic system-84 (WGS-84) coordinate system is constructed, and then the maximum likelihood registration (MLR) algorithm is extended to passive sensor registration for multiple moving airborne platforms in WGS-84 coordinate system. Using the chain derivative rule of composite function, when MLR is applied the key Jacobi matrix of sensor measurements to target state is derived. In order to compute the matrix, passive location problem for a target in WGS-84 by two airborne platforms with angle-only measurements is investigated.Theory analysis and simulation results show that the method can realize passive sensor registration, and the registration errors can approach the Cramer-Rao low bound, those indicate the validation of the algorithm.