Title :
Approximating the SNR value in detection problems
Author_Institution :
Defence Sci. & Technol. Organ., Edinburgh, SA, Australia
Abstract :
The inverse problem of finding the required signal-to-noise ratio (SNR) given a set of probability parameters and number of samples is a nontrivial problem. Several past attempts have proposed simple approximations for the SNR, but the achieved accuracy varied across the parameter space and was at times poor. The approximation equations proposed here are considerably more accurate over a larger parameter space.
Keywords :
approximation theory; inverse problems; parameter space methods; signal detection; SNR value; approximation equation; detection problem; inverse problem; parameter space; probability parameter; signal-to-noise ratio; Detectors; Equations; Fluctuations; Inverse problems; Matched filters; Mathematical model; Probability density function; Reflection; Signal processing; Signal to noise ratio;
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on
DOI :
10.1109/TAES.2003.1261142
