| 摘要: |
| In this paper, the distributed and recursive blind channel identification algorithms are proposed for single-input multi-output (SIMO) systems of sensor networks (both time-invariant and time-varying networks). At any time, each agent updates its estimate using the local observation and the information derived from its neighboring agents. The algorithms are based on the truncated stochastic approximation and their convergence is proved. A simulation example is presented and the computation results are shown to be consistent with theoretical analysis. |
| 关键词: Blind channel identification, distributed and recursive algorithm, truncated stochastic approximation, sensor networks |
| DOI： |
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| 基金项目:This work was supported by the National Key Basic Research Program of China (973 program, No. 2014CB845301), and the National Center for Mathematics and Interdisciplinary Science, Chinese Academy of Sciences. |
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| Distributed and recursive blind channel identification to sensor networks |
| R. Liu,H.-F. Chen |
| (Key Laboratory of Systems and Control, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100190, China) |
| Abstract: |
| In this paper, the distributed and recursive blind channel identification algorithms are proposed for single-input multi-output (SIMO) systems of sensor networks (both time-invariant and time-varying networks). At any time, each agent updates its estimate using the local observation and the information derived from its neighboring agents. The algorithms are based on the truncated stochastic approximation and their convergence is proved. A simulation example is presented and the computation results are shown to be consistent with theoretical analysis. |
| Key words: Blind channel identification, distributed and recursive algorithm, truncated stochastic approximation, sensor networks |
