Sensor registration using airlanes: maximum likelihood solution

摘要: In this contribution, the maximum likelihood estimation of sensor registration parameters, such as range, azimuth and elevation biases in radar measurements, using airlane information is proposed studied. The motivation for that it freely available a source reference provides an alternative to conventional techniques rely on synchronised correctly associated measurements from two or more sensors. paper, problem first formulated terms measurement model nonlinear function unknown target state plus noise. A probabilistic developed based information. also posteriori solutions are given. Cramer-Rao lower bound derived simulation results presented case estimating measurements. accuracy method compared against existing two-sensor alignment method. It concluded feasible techniques.