Design and Analysis of Sparsifying Dictionaries for FIR MIMO Equalizers
المؤلف | Al-Abbasi, Abubakr O. |
المؤلف | Hamila, Ridha |
المؤلف | Bajwa, Waheed U. |
المؤلف | Al-Dhahir, Naofal |
تاريخ الإتاحة | 2020-11-04T10:00:41Z |
تاريخ النشر | 2017 |
اسم المنشور | IEEE Transactions on Wireless Communications |
المصدر | Scopus |
الملخص | In this paper, we propose a general framework that transforms the problems of designing sparse finite-impulse-response linear equalizers and nonlinear decision-feedback equalizers, for multiple antenna systems, into the problem of sparsest approximation of a vector in different dictionaries. In addition, we investigate several choices of the sparsifying dictionaries under this framework. Furthermore, the worst case coherences of these dictionaries, which determine their sparsifying effectiveness, are analytically and/or numerically evaluated. Moreover, we show how to reduce the computational complexity of the designed sparse equalizer filters by exploiting the asymptotic equivalence of Toeplitz and circulant matrices. Finally, the superiority of our proposed framework over conventional methods is demonstrated through numerical experiments. |
راعي المشروع | This work was supported by the Qatar National Research Fund (a member of Qatar Foundation) under Grant NPRP 06-070-2-024. |
اللغة | en |
الناشر | Institute of Electrical and Electronics Engineers Inc. |
الموضوع | Decision-feedback equalizers linear equalizers MIMO sparse approximation worst case coherence |
النوع | Article |
الصفحات | 2576-2586 |
رقم العدد | 4 |
رقم المجلد | 16 |
الملفات في هذه التسجيلة
الملفات | الحجم | الصيغة | العرض |
---|---|---|---|
لا توجد ملفات لها صلة بهذه التسجيلة. |
هذه التسجيلة تظهر في المجموعات التالية
-
الهندسة الكهربائية [2611 items ]