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This conference paper discusses techniques for estimating Signal to Noise Ratio (SNR) in low SNR conditions, highlighting the importance of accurate SNR estimation for adaptive algorithms in radio receivers. It presents two methods for improving SNR estimation accuracy at low levels, including a corrected estimator that accounts for bias and an FFT-based estimator that provides SNR estimates prior to signal processing. The paper concludes by emphasizing the necessity of reliable SNR estimates in modern radi

Author

ranfilatex

Language

EN