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Performance of the Optimum and Several Suboptimum Receivers for Threshold Detection of Known Signals in Additive, White, Non-Gaussian Noise

Raymond F. Ingram, R. Houle

Open publisher page 3 citations

Abstract

The optimum and several suboptimum receivers for the detection of known signals in additive, white, non-Gaussian noise are identified. The performance of these nonlinear receivers is parametrically compared with the optimum Gaussian receiver using Middleton's Class B Noise Model. The performance of the extremely low frequency (ELF) receiver for the Propagation Validation System is shown to be within 0.5 dB of the optimum for high-level ELF noise.

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What this paper is about

The optimum and several suboptimum receivers for the detection of known signals in additive, white, non-Gaussian noise are identified. The performance of these nonlinear receivers is parametrically compared with the optimum Gaussian receiver using Middleton's Class B Noise Model. The performance of the extremely low frequency (ELF) receiver for the Propagation Validation System is shown to be within 0.5 dB of the optimum for high-level ELF noise.

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Available abstract

The optimum and several suboptimum receivers for the detection of known signals in additive, white, non-Gaussian noise are identified. The performance of these nonlinear receivers is parametrically compared with the optimum Gaussian receiver using Middleton's Class B Noise Model. The performance of the extremely low frequency (ELF) receiver for the Propagation Validation System is shown to be within 0.5 dB of the optimum for high-level ELF noise.

Key concepts: Additive white Gaussian noise, Gaussian noise, White noise, Noise (video), Gaussian, Noise measurement, Detection theory, Noise spectral density

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Performance of the Optimum and Several Suboptimum Receivers for Threshold Detection of Known Signals in Additive, White, Non-Gaussian Noise — Research Paper | ScholarLens