Multifunctional and compact 3D FMCW MIMO radar system with rectangular array for medium-range applications

Miralles, Enric; Multerer, Thomas; Ganis, Alexander; Schoenlinner, Bernhard; Prechtel, U.; Meusling, Askold; Mietzner, Jan; Weckerle, Christian; Esteban, H.; Vossiek, Martin; Loghik, Mirko; Ziegler, Volker

doi:10.1109/maes.2018.160277

Cited by 21 publications

(13 citation statements)

References 11 publications

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“…Such compact, multifunctional MIMO radars might, for example, accommodate additional sensor elements within the aperture area of the MIMO array (e.g. a miniature optical or infrared camera) or additional hardware components for wireless communication applications [10], [27].…”

Section: A Contributions and Outlinementioning

confidence: 99%

“…The peculiarity of this layout is that the resulting VAA exhibits the properties of a filled array with N = 64 antennas, even though the physical antennas are placed exclusively at the edge of the aperture. This creates the possibility of filling the unused space with additional hardware components, such as optical sensors or wireless communication modules [10], [27]. In order to investigate, whether this advantage can possibly also be used in conjunction with CS-aided DoA, we start with the configuration "MIMO Array I" depicted in Fig.…”

Section: B Mimo Antenna Array Designmentioning

confidence: 99%

“…MIMO radars with distributed antenna elements were shown to provide improved detection and parameter estimation performance for fluctuating targets by exploiting spatial diversity effects [9]. MIMO radars with co-located antennas, on the other hand, achieve enhanced angular resolutions based on a virtual enlargement of the physical antenna aperture [8], which is particularly attractive for compact radar sensors [10], [11].…”

Section: Introductionmentioning

confidence: 99%

“…MIMO processing can readily be extended to 2D antenna arrays for 3D target localization and DoA estimation in azimuth and elevation [10], which is a pre-requisite with regard to future air traffic applications. DoA estimation for 2D MIMO arrays was considered in [24], where a sparse Bayesian learning based imaging algorithm was investigated, which addresses the aspect of off-grid targets.…”

Section: Introductionmentioning

confidence: 99%

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Compressive-Sensing-Aided MIMO Radar Enabling Multi-Functional and Compact Sensors in Air Scenarios Using Optimized Antenna Arrays

et al. 2021

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We address the problem of direction-of-arrival (DoA) estimation for air targets using a compact, multi-functional radar sensor. In order to enhance the angular resolution of such sensors while exploiting the sparseness of typical air scenarios, we consider the combination of a multipleinput multiple-output (MIMO) radar approach with suitable compressive-sensing (CS) techniques. In particular, we investigate the combination of MIMO processing for two-dimensional (2D) antenna arrays with CS-based angular processing for three-dimensional (3D) target localization and 2D DoA estimation in azimuth and elevation. We analyze the benefits of randomized antenna element positions in one and two dimensions and devise optimized array geometries for practicable aperture sizes. In particular, we take physical side constraints into account, such as the smallest realizable/ desired element spacing as well as area restrictions for antenna placement within the overall aperture. The aperture area reserved by this means could be used to accommodate additional hardware components enabling a multi-functional sensor approach. Extensive computer simulation results for different 3D target scenarios illustrate the advantages of our CS-based compact MIMO radar approach with randomized antenna elements compared to fully randomized arrays, given the same number of physical antenna elements.

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Section: A Contributions and Outlinementioning

confidence: 99%

Section: B Mimo Antenna Array Designmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Compressive-Sensing-Aided MIMO Radar Enabling Multi-Functional and Compact Sensors in Air Scenarios Using Optimized Antenna Arrays

et al. 2021

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“…Synthetic aperture radar (SAR) is a powerful remote sensing technique independent of weather and sunlight illumination. With multiple transmitters and multiple receivers employed, multiple-input multiple-output SAR (MIMO–SAR) enables not only the acquisition of additional phase centers and long baselines for high-resolution wide-swath (HRWS) SAR imaging [ 1 , 2 , 3 ], but also SAR applications like multibaseline interferometry or three-dimensional imaging [ 4 , 5 , 6 , 7 , 8 ]. Moreover, it enables the possibility to utilize multiple SAR observing modes simultaneously in one MIMO–SAR system.…”

Section: Introductionmentioning

confidence: 99%

A Novel MIMO–SAR Solution Based on Azimuth Phase Coding Waveforms and Digital Beamforming

Zhou

Zhang

et al. 2018

Sensors

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In multiple-input multiple-output synthetic aperture radar (MIMO–SAR) signal processing, a reliable separation of multiple transmitted waveforms is one of the most important and challenging issues, for the unseparated signal will degrade the performance of most MIMO–SAR applications. As a solution to this problem, a novel APC–MIMO–SAR system is proposed based on the azimuth phase coding (APC) technique to transmit multiple waveforms simultaneously. Although the echo aliasing occurs in the time domain and Doppler domain, the echoes can be separated well without performance degradation by implementing the azimuth digital beamforming (DBF) technique, comparing to the performance of the orthogonal waveforms. The proposed MIMO–SAR solution based on the APC waveforms indicates the feasibility and the spatial diversity of the MIMO–SAR system. It forms a longer baseline in elevation, which gives the potential to expand the application of MIMO–SAR in elevation, such as improving the performance of multibaseline InSAR and three-dimensional SAR imaging. Simulated results on both a point target and distributed targets validate the effectiveness of the echo separation and reconstruction method with the azimuth DBF. The feasibility and advantage of the proposed MIMO–SAR solution based on the APC waveforms are demonstrated by comparing with the imaging result of the up- and down-chirp waveforms.

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3D MIMOAntenna Designs

Sharawi

2020

Wiley 5G Ref

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Multiple‐input multiple‐output (MIMO) technology has been a key driver in the development of fourth‐generation wireless systems and will continue to be utilized in the upcoming fifth‐generation one. MIMO was an excellent technology to make use of multipath effects and enhance the system capacity dramatically. A new technology that is based on MIMO that utilizes large amounts of antennas at the base‐station side to simultaneously send dedicated beams and create dedicated channels for various users has been identified and will be deployed with fifth‐generation systems to enhance the channel capacity even more. This technology is called massive‐MIMO (MaMI). The majority of works that addressed MaMI focused on one dimensional (azimuthal) beam steering. Adding the second dimension (elevation) to the original MaMI systems has been denoted as three‐dimensional MIMO (3D‐MIMO) since the beams will cover the 3D space in front of the MaMI array, thus enhancing coverage, reducing interference and enhancing capacity. This article focuses on 3D‐MIMO antenna array systems, their performance metrics and some examples of actual implementations at microwave and mm‐wave bands.

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Multifunctional and compact 3D FMCW MIMO radar system with rectangular array for medium-range applications

Cited by 21 publications

References 11 publications

Compressive-Sensing-Aided MIMO Radar Enabling Multi-Functional and Compact Sensors in Air Scenarios Using Optimized Antenna Arrays

Compressive-Sensing-Aided MIMO Radar Enabling Multi-Functional and Compact Sensors in Air Scenarios Using Optimized Antenna Arrays

A Novel MIMO–SAR Solution Based on Azimuth Phase Coding Waveforms and Digital Beamforming

3D MIMOAntenna Designs

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