Report
Channel Estimation for Ambient Backscatter Communication Systems with Massive-Antenna Reader
| العنوان: | Channel Estimation for Ambient Backscatter Communication Systems with Massive-Antenna Reader |
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| المؤلفون: | Zhao, Wenjing, Wang, Gongpu, Atapattu, Saman, He, Ruisi, Liang, Ying-Chang |
| المصدر: | IEEE Transactions on Vehicular Technology,2019 June |
| سنة النشر: | 2019 |
| المجموعة: | Computer Science Mathematics |
| مصطلحات موضوعية: | Electrical Engineering and Systems Science - Signal Processing, Computer Science - Information Theory |
| الوصف: | Ambient backscatter, an emerging green communication technology, has aroused great interest from both academia and industry. One open problem for ambient backscatter communication (AmBC) systems is channel estimation for a massive-antenna reader. In this paper, we focus on channel estimation problem in AmBC systems with uniform linear array (ULA) at the reader which consists of large number of antennas. We first design a two-step method to jointly estimate channel gains and direction of arrivals (DoAs), and then refine the estimates through angular rotation. Additionally, Cramer-Rao lower bounds (CRLBs) are derived for both the modulus of the channel gain and the DoA estimates. Simulations are then provided to validate the analysis, and to show the efficiency of the proposed approach. Comment: 5 figures, submitted to IEEE Transactions on Vehicular Technology, 29 March, 2019 |
| نوع الوثيقة: | Working Paper |
| DOI: | 10.1109/TVT.2019.2925212 |
| URL الوصول: | http://arxiv.org/abs/1904.03458 |
| رقم الانضمام: | edsarx.1904.03458 |
| قاعدة البيانات: | arXiv |
| DOI: | 10.1109/TVT.2019.2925212 |
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