Title :
On the error probability of signals in additive white Gaussian noise
Author_Institution :
Dept. of Electr. & Comput. Eng., Johns Hopkins Univ., Baltimore, MD, USA
fDate :
1/1/1991 12:00:00 AM
Abstract :
A new upper bound to the probability of error in detecting one of M equally probable signals in additive white Gaussian noise is presented. This bound is easy to calculate, can be applied to any signal set. It is always better than the union and minimum distance bounds. Examples demonstrate the use of the bound
Keywords :
error statistics; signal detection; white noise; AWGN; additive white Gaussian noise; error probability; signal detection; upper bound; Additive noise; Additive white noise; Detectors; Error probability; Gaussian noise; Maximum likelihood detection; Maximum likelihood estimation; Random variables; Signal detection; Upper bound;
Journal_Title :
Information Theory, IEEE Transactions on
