Qu Huifang, Yang Fuwen, Han Qing-Long, Zhang Yilian
IEEE Trans Cybern. 2021 Jul;51(7):3767-3778. doi: 10.1109/TCYB.2019.2901631. Epub 2021 Jun 23.
This paper is concerned with the distributed H -consensus filtering problem on attitude tracking over a radar filter network subject to switching topology and random packet dropouts occurring in the data transmission from both the Sun sensor and the filters. Since ground-based radars cannot directly measure the satellite attitude, a Sun sensor is deployed at the satellite side and its measurements are transmitted to radar filters through different network communication channels while suffering from random packet dropouts with different probabilities. In the radar filter network, each radar filter receives data not only from the Sun sensor but also from its local neighboring radar filters in accordance with a switching network topology. A delicate distributed H -consensus filtering algorithm, which incorporates the effects of switching network topology and random packet dropouts, is adopted to estimate attitude and attitude-rate. The algorithm guarantees H -consensus attenuation performance for the estimation deviations among radar filters, and the robustness against the switching network topology and packet dropouts for the radar filter network. The illustrative examples are given to verify the effectiveness of the proposed distributed H -consensus filtering algorithm.
本文研究了在具有切换拓扑且在太阳传感器与滤波器之间的数据传输中出现随机数据包丢失的雷达滤波器网络上，姿态跟踪的分布式H - 一致性滤波问题。由于地基雷达无法直接测量卫星姿态，因此在卫星端部署了一个太阳传感器，其测量值通过不同的网络通信信道传输到雷达滤波器，同时会遭受不同概率的随机数据包丢失。在雷达滤波器网络中，每个雷达滤波器不仅根据切换网络拓扑从太阳传感器接收数据，还从其本地相邻雷达滤波器接收数据。采用一种精细的分布式H - 一致性滤波算法，该算法考虑了切换网络拓扑和随机数据包丢失的影响，用于估计姿态和姿态速率。该算法保证了雷达滤波器之间估计偏差的H - 一致性衰减性能，以及雷达滤波器网络对切换网络拓扑和数据包丢失的鲁棒性。给出了示例以验证所提出的分布式H - 一致性滤波算法的有效性。
