دورية أكاديمية
Channel Estimation for Switch-Based Millimeter-Wave Communications via Atomic Norm
العنوان: | Channel Estimation for Switch-Based Millimeter-Wave Communications via Atomic Norm |
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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 |
تدمد: | 16875869 16875877 |
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DOI: | 10.1155/2021/7356963 |