Abstract
The Neyman-Pearson statistical theory on testing hypotheses has in previous work been applied to the problem of the detection of nonfluctuating constant-amplitude signals embedded in noise. This work is extended in this paper to the case of signal power fluctuating according to a prescribed probability distribution. The effect on system performance of possible correlation between successive signal pulses is taken into account. The introduction of signal fluctuation leads in general to some loss in system performance as compared to the case of nonfluctuating signals. This loss is most pronounced when there is complete correlation between successive signals, and is quite small when successive signals are independent of one another.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
