On the order of processing sensors in sequential implementations of fusion algorithms
Lucy Y. Pao, L. Trailovic · 1999
We examine the order of sensor processing in the sequential multisensor probabilistic data association (MSPDA) filter for target tracking applications. If two sensors of different qualities are used, simulations and analyses show that the root mean square position error is smaller when the worst sensor is processed first.