Low-complexity time-domain SNR estimation for OFDM systems | Zendy

Ayesha Ijaz | Zendy; Adegbenga Awoseyila | Zendy; B.G. Evans | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Low-complexity time-domain SNR estimation for OFDM systems

Author(s) -

Ayesha Ijaz,

Adegbenga Awoseyila,

B.G. Evans

Publication year - 2011

Publication title -

electronics letters

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.375

H-Index - 146

eISSN - 1350-911X

pISSN - 0013-5194

DOI - 10.1049/el.2011.2014

Subject(s) - orthogonal frequency division multiplexing , estimator , preamble , fading , algorithm , frequency domain , signal to noise ratio (imaging) , computer science , time domain , channel (broadcasting) , signal (programming language) , computational complexity theory , electronic engineering , mathematics , telecommunications , statistics , engineering , computer vision , programming language

A low-complexity signal-to-noise ratio (SNR) estimation algorithm for orthogonal frequency division multiplexing (OFDM) systems in frequency-selective fading channels is proposed. The estimator is based on a conventional preamble having two identical parts. It uses the correlation of the received signal samples to estimate signal power while noise power is estimated using the difference between received samples. Simulation results show that the proposed estimator is robust to the channel's frequency selectivity and its attained accuracy and reduced complexity make it an attractive choice for current wireless OFDM systems.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research