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

被引：41
|
作者：
Knill, Christina [1 ]
Roos, Fabian [1 ]
Schweizer, Benedikt [1 ]
Schindler, Daniel [2 ]
Waldschmidt, Christian [1 ]
机构：
[1] Ulm Univ, Inst Microwave Engn, D-89081 Ulm, Germany
[2] Robert Bosch GmbH, Corp Res & Adv Engn, D-71272 Renningen, Germany
来源：
IEEE MICROWAVE AND WIRELESS COMPONENTS LETTERS | 2019年 / 29卷 / 04期
关键词：
Carrier interleaving; compressed sensing (CS); frequency-division multiplexing (FDM); multiple-input multiple-output (MIMO); orthogonal FDM (OFDM); radar; time-division multiplexing (TDM);
D O I：
10.1109/LMWC.2019.2901405
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
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.
引用
收藏
页码：300 / 302
页数：3
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