Measurement Conversion based Three-dimensional Target Tracking in Asynchronous Multi-rate Multi-radar Network

Algorithms of tracking fusion are always proposed under the assumption that the measurements of different radars are synchronous and use same sampling rates, which is not valid in the real engineering applications. In this paper, the estimation fusion problem for target tracking in an asynchronous three-dimensional (3D) multi-rate multi-radar network is studied. A batch asynchronous fusion algorithm using decorrelated unbiased converted measurements for 3D target tracking is proposed firstly. On this basis, its corresponding sequential fusion algorithm is then proposed to further reduce the computational complexity. Simulation results demonstrate the effectiveness of these two algorithms compared to state of the art techniques.