Constraints and invariance in target detection

The concept of invariance in hypothesis testing is discussed for purposes of target detection. Invariant tests are proposed and analysed in two contexts. The first involves the use of cyclic permutation invariance as a solution to detecting targets with unknown location in noise. An invariance condition is used to eliminate the target location parameter, and a uniformly most powerful test developed for the reduced data. The test is compared with conventional solutions, and shown to be more powerfu. The difference however is slight, justifying the simpler formulations. This conclusion continues to hold even when additional unknown noise parameters are introduced.

Grantor dc:publisher.institution

Department of Electrical Engineering

Year dc:date.issued

2000

Author dc:creator

• Nicolls, Frederick

Language dc:language.iso

eng

Handle dc:identifier.uri

http://hdl.handle.net/11427/5137

OAI identifier oai:identifier

oai:open.uct.ac.za:11427/5137