Compressed sensing based high-resolution DoA estimation for automotive radar with real measurements
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URI: http://hdl.handle.net/10317/6185Compartir
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Mostrar el registro completo del ítemAutor
Correas Serrano, AitorDirector/a
González Huici, María; Álvarez Melcón, AlejandroEscuela/Centro
Escuela Técnica Superior de Ingeniería de TelecomunicaciónUniversidad
Universidad Politécnica de CartagenaDepartamento
Tecnologías de la Información y las ComunicacionesÁrea de conocimiento
Teoría de la Señal y las ComunicacionesFecha de publicación
2017-09Palabras clave
RadarResumen
Radar sensors are one of the key elements in autonomous driving systems. The
performance of radar sensors is robust independently of weather and visibility conditions,
and can accurately detect targets positioned over a hundred meters away
from the sensor. In vehicles, radar sensors are often required to be able to position
the detected targets in a 2D grid, by measuring the distance and the angular position
of the object with respect to the sensor, as well as the radial speed of the targets.
While the accurate measuring of range and radial speed of the targets can easily
be achieved with the commonly used modulations and frequency bands assigned
to automotive radar, the angular positioning of the targets, or direction of arrival
(DOA) estimation, still requires improvement for complex autonomous driving systems. The goals of this project are two. First, we aim to improve the performance in
DOA estimation by applying compressed sensing (CS) based algorithms instead of
the ...
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