Stochastic Matched Filters for Signal Detection Applications
Abstract
The stochastic matched filter (SMF) is a variation of the matched filter that can detect stochastic signals in noisy environments. Some earlier studies suggest that the SMF can be extended to the detection of frequency time-variant (nonstationary) signals, namely wideband modulated sonar in shallow water. This thesis considers the SMF algorithm first proposed by J.-F. Cavasillas in signal detection and estimation scenarios, and investigates its application to narrowband and chirp signals imbedded in white noise. In medium to high signal-to-noise ratio (SNR) values, results indicate that the SMF is a viable technique for signal detection and estimation, and could be employed in passive, real-time signal detection and estimation scenarios.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jun 01, 2022
- Accession Number
- AD1184685
Entities
People
- Michelle M. Welch
Organizations
- Naval Postgraduate School