Waveform processing-domain diversity and ATR

Chris J. Baker*, Mike Inggs, Amit K. Mishra

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference Proceeding (Non-Journal item)

Abstract

Classification of targets by radar has proved to be notoriously difficult with the best systems still yet to attain sufficiently high levels of performance and reliability. In this paper we take cues from nature to propose and examine a novel approach to target classification, based on diversity, as applied in the waveform processing domain. In the new approach, data is processed in multiple, different, forms, in parallel. The two forms that we have exploited in this work are the time and space domains. Most classification and Radar image analysis algorithms handle Radar data in the space domain only. Using simulation studies, we first show that phase or k-space data contains additional information. It is also shown that, counter-intuitively, having a sharp spatial Radar image (with reduced side-lobes) in fact worsens classification performance. Lastly, the proposed architecture is validated against a traditional, unitary based classification scheme.

Original languageEnglish
Title of host publication2011 19th European Signal Processing Conference
PublisherIEEE Press
Pages431-435
Number of pages5
Publication statusPublished - 29 Aug 2011
Externally publishedYes
Event19th European Signal Processing Conference, EUSIPCO 2011 - Barcelona, Spain
Duration: 29 Aug 201102 Sept 2011

Publication series

NameEuropean Signal Processing Conference
ISSN (Print)2219-5491

Conference

Conference19th European Signal Processing Conference, EUSIPCO 2011
Country/TerritorySpain
CityBarcelona
Period29 Aug 201102 Sept 2011

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