Work

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

Year: 2019

Type: article

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.

Source: IEEE Microwave and Wireless Components Letters

DOI: 10.1109/lmwc.2019.2901405

Authors: Christina Knill, Fabian Roos, Benedikt Schweizer, Daniel Schindler, Christian Waldschmidt

Institutions: Universität Ulm, Robert Bosch (Germany)

Language: English

Topic: Radar Systems and Signal Processing

Subfield: Aerospace Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: green

Funder: Ministerium für Wissenschaft, Forschung und Kunst Baden-Württemberg

Award: G5909286069