دورية أكاديمية

Channel state information-based wireless localization by signal reconstruction

التفاصيل البيبلوغرافية
العنوان: Channel state information-based wireless localization by signal reconstruction
المؤلفون: Hu, Yunbing, Peng, Ao, Li, Shenghong, Tang, Biyu, Ni, Wei, Lu, Xianzhi, Tang, Jianguo
المساهمون: the National Key Research and Development Program of China
المصدر: EURASIP Journal on Wireless Communications and Networking ; volume 2023, issue 1 ; ISSN 1687-1499
بيانات النشر: Springer Science and Business Media LLC
سنة النشر: 2023
مصطلحات موضوعية: Computer Networks and Communications, Computer Science Applications, Signal Processing
الوصف: Wireless localization technology has been widely used in indoor and outdoor fields. Channel estimation based on channel state information is a hot research topic in recent years. However, due to the interference of acquisition bandwidth, noise and Doppler effect, high-resolution channel estimation is a difficult problem. In this paper, the least squares estimate the amplitude of the signal subspace projection and estimate the time delay, using wireless channel state information to delay obey exponential distribution and magnitude obey normal distribution features, and reconstruction after the signal space and sampling to the Euclidean distance between the signal space, common as gradient optimization parameters, estimate the arrival time delay of high precision. The algorithm proposed in this paper filters out the noise interference in wireless communication and improves the accuracy of channel estimation through the method of least square and gradient optimization, which provides a feasible scheme for indoor wireless localization.
نوع الوثيقة: article in journal/newspaper
اللغة: English
DOI: 10.1186/s13638-023-02303-x
DOI: 10.1186/s13638-023-02303-x.pdf
DOI: 10.1186/s13638-023-02303-x/fulltext.html
الإتاحة: https://doi.org/10.1186/s13638-023-02303-xTest
حقوق: https://creativecommons.org/licenses/by/4.0Test ; https://creativecommons.org/licenses/by/4.0Test
رقم الانضمام: edsbas.D6C2A9E5
قاعدة البيانات: BASE