IEEE Microwave and Wireless Components Letters · 2019 · 42 citations · 6 references
EngineeringElectrical EngineeringInformation TheoryMicrowave EngineeringWireless CommunicationsChannel EstimationDigital Signal ProcessingRadar Signal ProcessingRadar SystemsChannelsCompressed SensingCompressive SensingMimo RadarMultiple Input Multiple Output RadarOrthogonal Frequency-division MultiplexingRadar LocalizationTarget Localization
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.
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Christina Knill, Benedikt Schweizer, Susanne Sparrer et al. · IEEE Transactions on Microwave Theory and Techniques · 2018 · 72 citations · Full text
Engineering, Electrical Engineering, Digital Communication +14