Title :
SNR Improvement for Energy Detection of Narrow Band Signal in OFDM System
Author :
Yanxin Yan ; Maode Ma
Author_Institution :
Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, Singapore
Abstract :
For orthogonal frequency division multiplexing (OFDM) based cognitive systems, the narrow band signal of the primary users (PU) is difficult to detect when it straddles the boundaries of two adjacent subcarriers. In this paper, we propose a novel energy detection (ED) method with time domain noise smoothing to improve the performance of the conventional ED of the OFDM system under the quasi-static multipath channel for detecting the narrow band primary signals. The effect of noise smoothing of the proposed ED method is analyzed. The close-form solution of probability of detection for OFDM system under quasi-static multipath channel is derived and verified by simulations. Simulations show that the proposed ED method can achieve the expected high signal-to-noise ratio (SNR) gain.
Keywords :
OFDM modulation; cognitive radio; multipath channels; multiuser detection; noise; smoothing methods; ED method; OFDM based cognitive systems; OFDM system; SNR gain; SNR improvement; energy detection method; narrow band primary signals; orthogonal frequency division multiplexing; primary users; quasistatic multipath channel; signal-to-noise ratio gain; time domain noise smoothing; Frequency estimation; Gain; OFDM; Sensors; Signal to noise ratio; Smoothing methods; Energy detection; cognitive radio; noise smoothing;
Journal_Title :
Communications Letters, IEEE
DOI :
10.1109/LCOMM.2014.2354363