2007•Unpublished venueRequires access

SNR estimation method for colored-noise environments based on two-channel

Bai Danping, Wan Qun, Yan Wang, Jiang Jin

Abstract

In additive white Gaussian noise (AWGN) environments, signal-to-noise ratio (SNR) estimation can be easily obtained since the noise spectrum density is flat. However, the performance is degenerate when the noise is colored. A novel SNR estimation method based on two-channel model for colored-noise environments is proposed. We use the phase information from the two-channel model to obtain the signal bandwidth and calculate the signal energy in this bandwidth. Hence, the SNR can be estimated in colored-noise environments. The simulation shows that the novel method performs better than the method reported for colored- noise environments.

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Key concepts: Additive white Gaussian noise, Colors of noise, Colored, Gaussian noise, Computer science, Bandwidth (computing), Noise (video), Channel (broadcasting)