Random multiplexing for an MIMO-OFDM radar with compressed sensing-based reconstruction

Autor: Christina Knill, Fabian Roos, Benedikt Schweizer, Daniel Schindler, Christian Waldschmidt
Jazyk: angličtina
Rok vydání: 2019
Předmět:
Orthogonal frequency-division multiplexing
Computer science
MIMO
02 engineering and technology
Data_CODINGANDINFORMATIONTHEORY
Multiplexing
law.invention
Frequency-division multiplexing
MIMO systems
Orthogonal Frequency Division Multiplex
law
Time-division multiplexing
0202 electrical engineering
electronic engineering
information engineering
Electronic engineering
Electrical and Electronic Engineering
Radar
DDC 004 / Data processing & computer science
Zeitmultiplex
Computer Science::Information Theory
OFDM
Orthogonal frequency division multiplexing
Direction of arrival
020206 networking & telecommunications
MIMO-OFDM
Condensed Matter Physics
Frequenzmultiplex
Frequency division multiple access
Compressed sensing (Telecommunication)
Multiple Input Multiple Output
Time division multiple acces
ddc:004
Multiple input-multiple output systems
Komprimierte Abtastung
Popis: In many applications, the direction of arrival (DoA) information of the radar signal plays a decisive role in target localization. A multiple-input multiple-output (MIMO) radar allows to obtain the position of an object in space within one measurement frame. Recent research and publications verify the high potential of digital radar principles such as orthogonal frequency-division multiplexing (OFDM). In this letter, a MIMO-OFDM approach based on random frequency and time-division multiplexing is presented. It is enhanced by a multidimensional compressed sensing method which utilizes the information of multiple channels. The approach is validated and compared to other MIMO-OFDM approaches using measurements of an experimental radar at 72.5 GHz
acceptedVersion
Databáze: OpenAIRE
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