Adaptive Beamsteering for Search-and-Track Application with Cognitive Radar Network
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Authors
Romero, Ric A.
Goodman, Nathan A.
Subjects
cognitive radar
cognitive radar netowork
search and track
matched illumination
adaptive beamsteering
cognitive radar netowork
search and track
matched illumination
adaptive beamsteering
Advisors
Date of Issue
2011
Date
2011
Publisher
IEEE
Language
Abstract
In this paper, we introduce the concept of a Cognitive
Radar Network (CRN). The goal of the radar platforms
in a CRN is to cooperate in illuminating the radar channel in
an efficient manner in an effort to search for moving targets.
Moreover, when a detection is declared, the CRN should incorporate
the tracking requirement into the illumination strategy.
That is, the beamsteering strategy must exploit the radar channel
uncertainty, which is a function of probabilistic representation
of the channel. The radar channel uncertainty is dynamic and as
such the CRN’s beamsteering strategy should be dynamic. Here,
we demonstrate a CRN by utilizing two static radar platforms
that form a dynamic integrated search-and-track beamsteering
strategy matched to the radar channel uncertainty.
Type
Article
Description
Series/Report No
Department
Electrical and Computer Engineering
Organization
Naval Postgraduate School (U.S.)
Identifiers
NPS Report Number
Sponsors
ONR via grant #N000140910338
Funding
ONR via grant #N000140910338
Format
5 p.
Citation
Distribution Statement
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.