On optimal threshold and structure in threshold system based detector

Authors:
Gencheng Guo;Mrinal Mandal
Affiliations:
Department of Electrical and Computer Engineering, 2nd Floor, ECERF Building, University of Alberta, Edmonton, AB, Canada T6G 2V4;Department of Electrical and Computer Engineering, 2nd Floor, ECERF Building, University of Alberta, Edmonton, AB, Canada T6G 2V4
Venue:
Signal Processing
Year:
2012

Citing 3
Cited 1

Design of detectors based on stochastic resonance

Signal Processing
Stochastic resonance in sequential detectors

IEEE Transactions on Signal Processing
Theory of the Stochastic Resonance Effect in Signal Detection: Part I—Fixed Detectors

IEEE Transactions on Signal Processing - Part I

A robust detector of known signal in non-Gaussian noise using threshold systems

Signal Processing

Quantified Score

Hi-index	0.09

Visualization

Abstract

Threshold systems are widely used in nonlinear signal detection. The optimal threshold and the optimal structure are crucial to obtain good performance. In this paper, we propose an efficient method to estimate optimal threshold in a threshold system based detector (TD). In addition, we investigate the structural issue of TD and propose a technique to determine the optimal structure. An optimal threshold detector is then implemented based on the optimal structure with the optimal threshold(s). Experiments show that the proposed optimal TD can be fairly compared to the optimal detection with much easier implementation and much less computational complexity.