دورية أكاديمية

Channel Estimation for Switch-Based Millimeter-Wave Communications via Atomic Norm

التفاصيل البيبلوغرافية
العنوان: Channel Estimation for Switch-Based Millimeter-Wave Communications via Atomic Norm
المؤلفون: Tao Ma, Xiangning Fan, Xiaohuan Wu
المصدر: International Journal of Antennas and Propagation, Vol 2021 (2021)
بيانات النشر: Wiley, 2021.
سنة النشر: 2021
المجموعة: LCC:Electrical engineering. Electronics. Nuclear engineering
مصطلحات موضوعية: Electrical engineering. Electronics. Nuclear engineering, TK1-9971, Cellular telephone services industry. Wireless telephone industry, HE9713-9715
الوصف: Channel estimation is a challenging issue in millimeter-wave massive multiple-input-multiple-output (MIMO) communication systems due to the large number of antennas in the transceiver. Existing methods are usually based on phase shifters which may not be a simple circuit at mmWave band. In this paper, we construct a switch-based architecture for analog processors from the coarray point of view and then propose an atomic ℓ0-norm minimization problem. We then propose an efficient algorithm to solve this problem based on Wirtinger projection. Since the proposed method requires no angle discretization, it does not suffer from grid mismatch effect that greatly deteriorates the estimation performance of grid-based channel estimation methods. Compared to the atomic norm minimization (ANM) method, our method does not involve vectorization of the channel matrix and hence the dimensionality of the problem is much less than that of ANM. We show that our method is able to provide comparable estimation performance to ANM but with much less computational time. Extensive simulations are carried out to verify the effectiveness of our proposed method.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1687-5869
1687-5877
Relation: https://doaj.org/toc/1687-5869; https://doaj.org/toc/1687-5877
DOI: 10.1155/2021/7356963
URL الوصول: https://doaj.org/article/11bdd05ff7e74f1ba7f29c514361ab4a
رقم الأكسشن: edsdoj.11bdd05ff7e74f1ba7f29c514361ab4a
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:16875869
16875877
DOI:10.1155/2021/7356963