دورية أكاديمية

Channel estimation for backscatter communication systems with retrodirective arrays

التفاصيل البيبلوغرافية
العنوان: Channel estimation for backscatter communication systems with retrodirective arrays
المؤلفون: Yunping Mu, Chaochao Yao, Dian Fan, Yongjun Xu, Gongpu Wang, Marjan Milošević, Bo Ai
المصدر: IET Communications, Vol 18, Iss 11, Pp 671-678 (2024)
بيانات النشر: Wiley, 2024.
سنة النشر: 2024
المجموعة: LCC:Telecommunication
مصطلحات موضوعية: AWGN channels, backscatter, Bayes methods, channel estimation, internet of things, Telecommunication, TK5101-6720
الوصف: Abstract Backscatter communications, which originated from World War II, have been widely applied in the logistics domain, and recently attract emerging interest from both academic and industrial circles. Here, the backscatter communication systems equipped with retrodirective arrays that can re‐transmit the impinging signals back toward the direction of incidence are studied so as to reduce the power loss of the signals. Specifically, the authors consider the tag is equipped with retrodirective arrays to improve reliability and enhance communication range. The probability density function of channel coefficients is then derived. Next, a channel estimator based on Bayesian theory is proposed to acquire the modulus values of channel parameters and calculate its Bayesian Cramer–Rao Lower Bound. Finally, simulation results are provided to corroborate these theoretical studies.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1751-8636
1751-8628
Relation: https://doaj.org/toc/1751-8628; https://doaj.org/toc/1751-8636
DOI: 10.1049/cmu2.12777
URL الوصول: https://doaj.org/article/4d1490db5be94d7e9ed1ff74931936ff
رقم الأكسشن: edsdoj.4d1490db5be94d7e9ed1ff74931936ff
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:17518636
17518628
DOI:10.1049/cmu2.12777