Pilot-Based Time Domain SNR Estimation for Broadcasting OFDM Systems. (2nd May 2018)
- Record Type:
- Journal Article
- Title:
- Pilot-Based Time Domain SNR Estimation for Broadcasting OFDM Systems. (2nd May 2018)
- Main Title:
- Pilot-Based Time Domain SNR Estimation for Broadcasting OFDM Systems
- Authors:
- Khan, Abid Muhammad
Jeoti, Varun
Rehman, Muhammad Zaka Ur
Jilani, Muhammad Taha
Chugtai, Omer
Rehmani, Mubashir Hussain - Other Names:
- Wang Ting Academic Editor.
- Abstract:
- Abstract : The estimation of signal-to-noise ratio (SNR) is a major issue in wireless orthogonal frequency-division multiplexing (OFDM) system. In OFDM system, each frame starts with a preamble symbol that facilitates the SNR estimation. However, the performance of preamble-based SNR estimation schemes worsens in the fast-changing environment where channel changes symbol to symbol. Accordingly, in this paper, we propose a novel pilot-based SNR estimation scheme that optimally exploits the pilot subcarriers that are inserted in each data symbol of the OFDM frame. The proposed scheme computes the circular correlation between the received signal and the comb-type pilot sequence to obtain the SNR. The simulation results are compared with the conventional preamble-based Zadoff-Chu sequence SNR estimator. The results indicate that the proposed scheme generates near-ideal accuracy; especially in low SNR regimes, in terms of the normalized mean square error (NMSE). Moreover, this scheme offers a significant saving of computation over a conventional time domain SNR estimator.
- Is Part Of:
- Journal of computer networks and communications. Volume 2018(2018)
- Journal:
- Journal of computer networks and communications
- Issue:
- Volume 2018(2018)
- Issue Display:
- Volume 2018, Issue 2018 (2018)
- Year:
- 2018
- Volume:
- 2018
- Issue:
- 2018
- Issue Sort Value:
- 2018-2018-2018-0000
- Page Start:
- Page End:
- Publication Date:
- 2018-05-02
- Subjects:
- Computer networks -- Periodicals
Computer science -- Periodicals
004.605 - Journal URLs:
- https://www.hindawi.com/journals/jcnc/ ↗
- DOI:
- 10.1155/2018/9319204 ↗
- Languages:
- English
- ISSNs:
- 2090-7141
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 10737.xml