Research and summary of SNR estimation algorithm based on cognitive radio

摘要

The cognitive ability of Cognitive Radio (CR) can adjust appropriate transmission parameters according to different channel conditions and adapt to dynamic communication environments. Channel quality evaluation is a key technology of adaptive communication systems, and its real-time evaluation results provide a direct basis for adaptive communication transmission scheme switching. So it is necessary to study the estimation algorithms of signal-to-noise ratio (SNR). Several SNR estimation algorithms based on additive white Gaussian noise channel (AWGN) are studied in this paper, analyze and compare through theoretical derivation and computer simulation. The simulation results of the computer MATLAB software show that the algorithm introduced in the article has a high estimation accuracy in the entire range of the SNR simulation interval of 0 to 15dB, and can accurately reflect the current channel conditions to facilitate the CR system adjusts the communication strategy in time, provides a certain reference basis for CR channel estimation decision-making.