Adaptive autoregressive prediction method for deep-space channel using Kalman filter
文献类型：会议论文
| 作者 | Niu, Guo-Qing; Yan, Yi; Li, Yong-Cheng; Yao, Xiu-Juan; Wang, Chunmei; Gao, Xiang |
| 出版日期 | 2014 |
| 会议名称 | 4th International Conference on Instrumentation and Measurement, Computer, Communication and Control, IMCCC 2014 |
| 会议日期 | September 18, 2014 - September 20, 2014 |
| 会议地点 | Harbin, Heilongjiang, China |
| 页码 | 533-538 |
| 英文摘要 | Aiming at improving the signal strength fluctuation phenomena in the deep-space channel affected by solar scintillation during superior conjunction period, a Kalman based adaptive Autoregressive (AR) prediction method for deep-space channel is proposed to predict the channel fading envelope. First, a Rician fading deep-space channel model is established, then the computational methods to channel parameters are dramatically simplified, which are solar scintillation index and Doppler bandwidth respectively, and finally Kalman recursion equations and linear interpolation are applied to modify the prediction results from AR algorithm, realizing the long-term adaptive prediction of the deep-space channel envelope at Ka-band and X-band. Simulation results show that: Compared to the traditional AR algorithm, the proposed method possesses better adaptive characteristics and stronger resistance to multipath fading capability, in the case of weak solar scintillation, the proposed method requires lower order, shorter training data window length, in the case of strong solar scintillation, the mean square error (MSE) of the prediction results can also be reduced by approximately one order. © 2014 IEEE. |
| 收录类别 | EI |
| 会议录 | Proceedings - 2014 4th International Conference on Instrumentation and Measurement, Computer, Communication and Control, IMCCC 2014
 |
| 会议录出版者 | Institute of Electrical and Electronics Engineers Inc. |
| 语种 | 英语 |
| ISBN号 | 9781479965755 |
| 源URL | [http://ir.nssc.ac.cn/handle/122/4344]  |
| 专题 | 国家空间科学中心_微波遥感部 |
| 推荐引用方式 GB/T 7714 | Niu, Guo-Qing,Yan, Yi,Li, Yong-Cheng,et al. Adaptive autoregressive prediction method for deep-space channel using Kalman filter[C]. 见:4th International Conference on Instrumentation and Measurement, Computer, Communication and Control, IMCCC 2014. Harbin, Heilongjiang, China. September 18, 2014 - September 20, 2014. |
入库方式： OAI收割
来源：国家空间科学中心
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