التفاصيل البيبلوغرافية
العنوان: |
Energy leakage in OFDM sparse channel estimation: The drawback of OMP and the application of image deblurring |
المؤلفون: |
Gang Qiao, Xizhu Qiang, Lei Wan, Hanbo Jia |
المصدر: |
Digital Communications and Networks, Vol 10, Iss 5, Pp 1280-1288 (2024) |
بيانات النشر: |
KeAi Communications Co., Ltd., 2024. |
سنة النشر: |
2024 |
المجموعة: |
LCC:Information technology |
مصطلحات موضوعية: |
Sparse channel estimation, Orthogonal matching pursuit (OMP), Orthogonal frequency division multiplexing (OFDM), Linear fitting, Image deblurring, Information technology, T58.5-58.64 |
الوصف: |
In this paper, in order to reduce the energy leakage caused by the discretized representation in sparse channel estimation for Orthogonal Frequency Division Multiplexing (OFDM) systems, we systematically have analyzed the optimal locations of atoms with discrete delays for each path reconstruction from the perspective of linear fitting theory. Then, we have investigated the adverse effects of the non-ideal inner product function on the iteration in one of the most widely used channel estimation method, Orthogonal Matching Pursuit (OMP). The study shows that the distance between the selected atoms for each path in OMP can be larger than the sampling interval, which prevents OMP-based methods from achieving better performance. To overcome this drawback, the image deblurring-based channel estimation method, in which the channel estimation problem is analogized to one-dimensional image deblurring, was proposed to improve the large compensation distance of traditional OMP. The advantage of the proposed method was validated by the results of numerical simulation and sea trial data decoding. |
نوع الوثيقة: |
article |
وصف الملف: |
electronic resource |
اللغة: |
English |
تدمد: |
2352-8648 |
Relation: |
http://www.sciencedirect.com/science/article/pii/S2352864823001372; https://doaj.org/toc/2352-8648 |
DOI: |
10.1016/j.dcan.2023.08.003 |
URL الوصول: |
https://doaj.org/article/0030810940874184b52158cfc8972906 |
رقم الانضمام: |
edsdoj.0030810940874184b52158cfc8972906 |
قاعدة البيانات: |
Directory of Open Access Journals |