OPTIMUM TRACKING DETECTORS.
Abstract
The purpose of the report is to further the theory of signal detectability for signals with time-varying parameters. Time-varying parameters are modelled by Markov statistics, and the resulting optimum detectors are termed 'tracking detectors.' Tracking-detector design is approached with a two stage philosophy. A first stage contains the bulk of the processing and can be designed without specifying a priori knowledge regarding the unknown parameters; the a priori knowledge is accounted for in the relatively simple second stage. Tracking-detector theory is applied to the parametric signal characteristics of amplitude, phase, and waveshape. By modelling a burst-like signal as a two state Markov process, it is found that the detectability of such signals is a function of the decision threshold setting. Detectability of periodic and transient signals in noise with time-varying power is investigated and it is found that, for at least one noise model, the basic non-linearity of the optimum detector is a limiter.
Document Details
- Document Type
- Technical Report
- Publication Date
- Mar 01, 1970
- Accession Number
- AD0712126
Entities
People
- Charles P. Hatsell
Organizations
- Duke University