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Random Multiplexing for an MIMO-OFDM Radar With Compressed Sensing-Based Reconstruction.

Authors :
Knill, Christina
Roos, Fabian
Schweizer, Benedikt
Schindler, Daniel
Waldschmidt, Christian
Source :
IEEE Microwave & Wireless Components Letters; Apr2019, Vol. 29 Issue 4, p300-302, 3p
Publication Year :
2019

Abstract

In many applications, the direction of arrival 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 that 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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
15311309
Volume :
29
Issue :
4
Database :
Complementary Index
Journal :
IEEE Microwave & Wireless Components Letters
Publication Type :
Academic Journal
Accession number :
135773188
Full Text :
https://doi.org/10.1109/LMWC.2019.2901405