KNOWLEDGE-BASED ADAPTIVE BEAMSTEERING FOR ENHANCED DETECTION AND INTERFERENCE MITIGATION
Loading...
Authors
Lavris, Monica T.
Subjects
one-dimensional
two-dimensional
adaptive
antenna
array
beam
beamforming
beamsteering
cognitive
detection
entropy
illumination
interference
jamming
knowledge-based
probabilistic
probability
radar
target
uncertainty
two-dimensional
adaptive
antenna
array
beam
beamforming
beamsteering
cognitive
detection
entropy
illumination
interference
jamming
knowledge-based
probabilistic
probability
radar
target
uncertainty
Advisors
Romero, Ric
Date of Issue
2021-12
Date
December 2021
Publisher
Monterey, California. Naval Postgraduate School
Language
Abstract
Modern-day radar systems continue to increase their adaptability to our changing world. One adaptation is the continued improvement of detection-and-track functionality. Knowledge-based (KB) adaptive beamsteering utilizes a probabilistic representation of a search area to improve overall detection-and-track performance. In this thesis, we consider the search-and-detection problem using adaptive beamsteering for 1-dimensional (1-D) and 2-dimensional (2-D) spatial illumination. We propose a technique that directs the antenna beam on a region of space or cell area with the largest probability as opposed to a popular technique that utilizes the largest uncertainty. To compare detection performance, we allow the whole angular space being interrogated to be interfered with correlated random interference and/or jammers as opposed to discrete interferers. To evaluate performance, we vary the interference or jammer to noise power ratio and the jammer to signal power ratio. The results demonstrate that adaptive beamsteering, when allowed to capitalize on the probability map, can improve detection probability significantly and mitigate random interference and jammer noise.
Type
Thesis
Description
Series/Report No
Department
Electrical and Computer Engineering (ECE)
Organization
Identifiers
NPS Report Number
Sponsors
Funding
Format
Citation
Distribution Statement
Approved for public release; distribution is unlimited.
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.