Sparsity-aware joint frame synchronization and channel estimation: Algorithm and USRP implementation
المؤلف | Özdemir, Özgür |
المؤلف | Hamila, Ridha |
المؤلف | Al-Dhahir, Naofal |
المؤلف | Güvenç, Ismail |
تاريخ الإتاحة | 2020-08-20T08:06:22Z |
تاريخ النشر | 2017 |
اسم المنشور | Proceedings - IEEE Military Communications Conference MILCOM |
المصدر | Scopus |
الملخص | Conventional correlation-based frame synchronization techniques can suffer significant performance degradation over multi-path frequency-selective channels. As a remedy, in this paper we consider joint frame synchronization and channel estimation. This, however, increases the length of the resulting combined channel and its estimation becomes more challenging. On the other hand, since the combined channel is a sparse vector, sparse channel estimation methods can be applied. We propose a joint frame synchronization and channel estimation method using the orthogonal matching pursuit (OMP) algorithm which exploits the sparsity of the combined channel vector. Subsequently, the channel estimate is used to design the equalizer. Our simulation results and experimental outcomes using software defined radios show that the proposed approach improves the overall system performance in terms of the mean square error (MSE) between the transmitted and the equalized symbols compared to the conventional method. 2017 IEEE. |
راعي المشروع | This publication was made possible by NPRP grant # NPRP 6-070-2-024 from the Qatar National Research Fund (a member of Qatar Foundation). The statements made herein are solely the responsibility of the authors. |
اللغة | en |
الناشر | Institute of Electrical and Electronics Engineers Inc. |
الموضوع | Equalization frame synchronization MSE OMP SDR sparse channel estimation USRP |
النوع | Conference Paper |
الصفحات | 647-652 |
رقم المجلد | 2017-October |
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