Abstract
A multi-platform angle-only tracking system combines the angular measurements from distributed networked sensors in order to estimate the full kinematic target state. This paper investigates the effect of communication bandwidth on track quality in a system which receives angle-only measurements from two networked sensors installed on two airborne moving platforms. The investigation is based on the Cramér–Rao lower bound of the mean-square range error for the case considered. The bound is derived for recursive estimators with prior information and compared with two algorithms: (i) maximum likelihood estimation over a cumulative measurement set and (ii) extended Kalman filter with triangulated range estimates.
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