| Citation: | HAN Xu, ZHAO Guorong, WANG Kanget al. A decentralized fusion estimator using linear coding compensation method with non-fixed dropout rates[J]. Journal of Beijing University of Aeronautics and Astronautics, 2020, 46(6): 1229-1236. doi: 10.13700/j.bh.1001-5965.2019.0348(in Chinese)
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The networked multi-sensor fusion estimation problem is investigated in the paper for a class of networked system with non-fixed packet loss rates, which aims to solving the problem of modeling of non-fixed packet loss rates in wireless channel and the problem of dropout compensation. The dropout rate of the wireless channel is assumed to be non-fixed. A linear coding method is used at the sensor by combining the past several measurements to get a new measurement, which compensates the data. First, a recursive locally optimal estimator is designed by minimizing the mean square error accounting for the non-Gaussian non-white noise random disturbance of the system matrix and making good use of the real-time arrival information based on the received measurement. Second, the functional relationship between the fusion estimation error covariance and sensor transmitting probability is derived. Finally, simulation example is given to confirm the effectiveness of the proposed method.
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