Mutual coupling analysis for colocated MIMO radar applications using CEM modeling

Colon-Diaz, N.; Metcalf, Justin G.; Janning, Dan; Himed, Braham

doi:10.1109/radar.2017.7944243

Cited by 7 publications

(3 citation statements)

References 15 publications

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“…Hereby, digital beamforming can be applied, and the scattering matrix becomes constant. Nevertheless, depending on the selection of waveforms, the scattering matrix can potentially vary as a function of time as documented for phase-coded waveforms in [13]- [15]. The effects on the beam pattern from system imperfections in a MIMO radar system have been investigated for worst-case boundaries through statistical analysis [16].…”

Section: Introductionmentioning

confidence: 99%

Mutual Coupling and Channel Imbalance Calibration of Colocated MIMO Radars

Grove

Dall

Leth-Espensen

2022

IEEE Open J. Antennas Propag.

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The Multiple-Input Multiple-Output (MIMO) radar combines the signals from multiple transmit and receive elements separately to form a virtual array. Consequently, system imperfections in the MIMO radar caused by channel imbalance and mutual coupling are repeatedly present in the virtual array, affecting the beamforming performance. In this paper, the beam pattern deviations caused by these imperfections are described mathematically in relation to a single point target. Furthermore, a nonparametric calibration technique to estimate and compensate for these effects at different angles is presented by exploiting that the same imperfections are present multiple times in the virtual array. The proposed calibration method is applied to measurements with an 8 × 8 colocated X-band MIMO radar, and the peak sidelobe level (PSL) and the integrated sidelobe level (ISL) are used as performance parameters. The calibration technique is found to improve both the PSL and the ISL by approximately 15 dB within the whole field-of-view (FOV) for antennas that are not minimum scatterers. For angles above ±30 • from the antenna boresight, the performance of the proposed calibration method is found to surpass other calibration methods. This is advantageous for MIMO radars as they typically cover a wide FOV.

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Section: Introductionmentioning

confidence: 99%

Mutual Coupling and Channel Imbalance Calibration of Colocated MIMO Radars

Grove

Dall

Leth-Espensen

2022

IEEE Open J. Antennas Propag.

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“…Colon-Diaz et al [33] extended Savy's approach applying computational electromagnetics (CEM) to compute the ARC from any type of antenna element and [34] used dual directional couplers (DDC) to obtain direct measurements of the forward and reverse waves, proportional to the coupled power, on each radiator of a dipole array. The methodology described provides a more direct estimate of the ARC, defined as the ratio of the reflected and incident signals to element n when all the ports are excited.…”

Section: Introductionmentioning

confidence: 99%

“…Specifically, the contributions of this paper are as follows. We will: (1) extend the methodology from [33] to predict the total transmitted fields in the far field for arbitrary radiating elements and geometrical configuration; (2) generalize the methodology from [34] to record simultaneous reverse and forward waves of a co-located MIMO radar when simultaneously excited with different waveforms;…”

Section: Introductionmentioning

confidence: 99%

Analysis of Active Reflection Coefficient and Radiated Fields on a Co-Located Mimo Radar System in Transmit Mode

Colon-Diaz¹,

Janning²

2022

PIER M

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A study of the impact of coupling effects in a co-located multiple input multiple output (MIMO) radar system is presented. Predicted and measured results corroborate that the active reflection coefficient (ARC) and beampatterns are impacted by the excitation of each sub-array, the geometric configuration, and their polarization. A uniform linear array (ULA) and a uniform planar array (UPA) layouts are considered. The excitations used in the study are linear frequency modulation (LFM) and Doppler division multiple access (DDMA). A thorough analysis is presented to understand the effects these parameters have on the ARC and on the beampatterns of the radar system.

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