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| 1 | 基于Kalman滤波和APNN的卫星网络节点故障定位方法显示文摘为了提高卫星网络节点故障定位的正确性和完全性,提出了基于Kalman滤波和APNN的卫星网络节点故障定位方法。利用Kalman滤波算法追踪卫星网络节点故障信号,并实施预估及校正,获得最优的故障状态变量估计值,初始化故障状态变量估计值,将自适应概率神经网络的样本误差函数视为适应度函数寻优平滑因子集,经过多次迭代获得的最优解,即平滑因子集,实现卫星网络节点故障定位。实验结果表明:所提方法卫星网络节点故障定位的正确率始终高于95%,故障定位的完全率基本不受故障数量影响,始终保持最高,具备较高的完全性,且定位时延和通信开销低。 | 邵烨荣 | 2022 | 兵器装备工程学报2022，43，2： | 2 |
| 2 | Multi-Resources Management in 6G-Oriented Terrestrial-Satellite Network显示文摘The six-generation(6G)wireless network is expected to satisfy the requirements of ubiquitous connectivity and intelligent endogenous.Terrestrialsatellite networks(TSN)enable seamless coverage for terrestrial users in a wide area,making it very promising in 6G.As data traffic in TSNs surges,the integrated management for caching,computing,and communication(3C)has attracted much research attention.In this paper,we investigate the multi-resource management in the uplink and downlink transmission of TSN,respectively.In particularly,we aim to guarantee both throughput fairness and data security in the uplink transmission of TSN.Considering the intermittent communication of the satellite,we introduce two kinds of relays,i.e.,terrestrial relays(TRs)and aerial relays(ARs)to improve the system throughput performance in the downlink transmission of TSN.Finally,we study a specific case of TSN with the uplink and downlink transmission,and the corresponding simulation results validate the effectiveness of our proposed schemes. | Shu Fu Bibo Wu Shaohua Wu Fang Fang | 2021 | China Communications2021，18，9： | 1 |
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