Title :
Efficient SNR estimation in OFDM system
Author :
Kim, Seon Ae ; An, Dong Geon ; Ryu, Heung-Gyoon ; Kim, Jin-up
Author_Institution :
Dept. of Electron. Eng., Chungbuk Nat. Univ., Cheongju, South Korea
Abstract :
It is very important to estimate the signal to noise ratio (SNR) of received signal and to transmit the signal effectively for the modern communication system. The performance of existing non-data-aided (NDA) SNR estimation methods are substantially degraded for high level modulation scheme such as M-ary amplitude and phase shift keying (APSK) or quadrature amplitude modulation (QAM). In this paper, we propose a SNR estimation method which uses zero point auto-correlation of received signal per block and auto/cross- correlation of decision feedback signal in orthogonal frequency division multiplexing (OFDM) system. Proposed method can be studied into two types; Type 1 can estimate SNR by zero point auto-correlation of decision feedback signal based on the second moment property. Type 2 uses both zero point auto-correlation and cross-correlation based on the fourth moment property. In block-by-block reception of OFDM system, these two SNR estimation methods can be possible for the practical implementation due to correlation based the estimation method and they show more stable estimation performance than the previous SNR estimation methods.
Keywords :
OFDM modulation; amplitude shift keying; phase shift keying; quadrature amplitude modulation; APSK; M-ary amplitude-phase shift keying; NDA SNR estimation methods; OFDM system; QAM; block-by-block reception; decision feedback signal; efficient SNR estimation; high-level modulation scheme; nondata-aided SNR estimation; orthogonal frequency division multiplexing system; quadrature amplitude modulation; signal-to-noise ratio; zero point autocorrelation; Correlation; Estimation; Mathematical model; OFDM; Phase shift keying; Quadrature amplitude modulation; Signal to noise ratio; OFDM; QAM; SNR estimation; correlation;
Conference_Titel :
Radio and Wireless Symposium (RWS), 2011 IEEE
Conference_Location :
Phoenix, AZ
Print_ISBN :
978-1-4244-7687-9
DOI :
10.1109/RWS.2011.5725412