Title :
A Signal-to-Noise Ratio Enhancer
Author_Institution :
ITT Electron. Syst., Clifton, NJ, USA
Abstract :
Many radio applications require a Signal-to-Noise Ratio (SNR) Enhancer to combat the radio channel impairments. In this paper, we are particularly interested in combating the radio channel impairments resulted from long-term and short-term channel variations. The SNR Enhancer pre-conditions the received signal strength (RSS) of the signal such that the SNR of the signal is increased; hence the system performance may be improved. This paper derives the achievable performance of possible approaches, and compares the performance characteristics of the approaches. The results indicate the Maximum RSS approach outperforms the Average RSS approach for the applications intended..
Keywords :
wireless channels; RSS approach; SNR enhancer; radio channel impairments; received signal strength; signal-to-noise ratio; Mathematical model; Random variables; Rayleigh channels; Rician channels; Shadow mapping; Signal to noise ratio; Radio Channel Impairments; Received Signal Strength; Signal-to-Noise Ratio;
Conference_Titel :
Sensors Applications Symposium (SAS), 2011 IEEE
Conference_Location :
San Antonio, TX
Print_ISBN :
978-1-4244-8063-0
DOI :
10.1109/SAS.2011.5739765