Detection and Classification of Fluctuating Targets
Abstract
The structure of echoes observed in echo-location systems such as radar and sonar can exhibit significant variability caused by environmental effects and fluctuations in the target aspect. A technique for countering these effects and thereby improving the detection and classification of the target is investigated. The technique relies on being able to characterizes the target signal space using a low dimensional signal basis. For this purpose the Karhunen-Loeve expansion is used to construct the target signal space and in conjunction with the likelihood ratio test form the appropriate test statistic, which is the basis of the detector/classifier structure for distinguishing target returns from nontarget ones. This structure is sometimes referred to as the separable kernel receiver. With this structure in place the performance of the detector/classifier can be evaluated as a function of clutter type and target mismatch. Performance comparisons are also made with a peak detector and a matched filter processor detecting Rayleigh and Rician targets in Rayleigh clutter. The results are presented in the usual form of receiver operating characteristic (ROC) curves.
Document Details
- Document Type
- Technical Report
- Publication Date
- Mar 19, 2001
- Accession Number
- ADA389350
Entities
People
- David M. Drumheller
- Henry Lew
Organizations
- United States Naval Research Laboratory