Nature-inspired waveform optimisation for range spread target detection in cognitive radar

Nature-inspired waveform optimisation for range spread target detection in cognitive radar

The waveform optimisation problem in cognitive radar is non-convex and will have sub-optimal solutions when solved by the semi-definite relaxation (SDR) technique. Here, a novel nature-inspired waveform optimisation framework is proposed for range-spread target detection in cognitive radar. First, t...

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Bibliographic Details
Main Authors: Qing Wang, Meng Li, Lirong Gao, Kaiming Li, Hua Chen
Format: Article
Language:English
Published: Wiley 2019-10-01
Series:The Journal of Engineering
Subjects:
search problems
kalman filters
object detection
particle swarm optimisation
probability
radar detection
antenna arrays
optimisation
semidefinite relaxation technique
novel nature-inspired waveform optimisation framework
range-spread target detection
cognitive radar
waveform optimisation problem
target scattering coefficients
nature-inspired algorithms
modified particle swarm optimisation algorithm
beetle antennae search algorithm
nature-inspired waveform optimisation approach
range spread target detection
Online Access:https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0527

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https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0527

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