Detection of a Known Transient Signal of Unknown Scaling and Arrival Time

Mordechai Frisch, Hagit Messer

Research output: Contribution to journalArticlepeer-review

Abstract

This paper discusses the problem of detecting a known wave-shape transient signal of unknown arrival time and duration in additive, white Gaussian noise. The limited duration transient is modeled by the known waveshape and by unknown attenuation and time-scaling factors. We show that the intuitive generalized matched filter can be interpreted as a wavelet-based detector, with the known waveshape serving as the wavelet ‘motherê¼ function. Using results from wavelet theory we then suggest a procedure for designing a “bank of filters'’ detector, in which the filters are logarithmically distributed in the frequency domain. We show the tradeoff between the performance and the number of filters and we find the minimal number of filters which guarantee performance improvement relative to the energy detector. We also find the number of filters which obtain close to best attainable performance. The study was done using Monte-Carlo simulation.

Original languageEnglish
Pages (from-to)1859-1863
Number of pages5
JournalIEEE Transactions on Signal Processing
Volume42
Issue number7
DOIs
StatePublished - Jul 1994

Fingerprint

Dive into the research topics of 'Detection of a Known Transient Signal of Unknown Scaling and Arrival Time'. Together they form a unique fingerprint.

Cite this