On the Impact of Channel Imbalance on MIMO Radar Performance

Ricard L. Grove; Jørgen Dall

doi:10.1109/EuRAD48048.2021.00091

On the Impact of Channel Imbalance on MIMO Radar Performance

Ricard L. Grove^*, Jørgen Dall^*

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Abstract

The multiple-input multiple-output (MIMO) radar systems suffer from several types of system imperfections such as antenna mutual coupling, channel imbalance, system hardware limitations, and noise. Through calibration the deterministic system imperfections can be significantly reduced. Some sources of system degradation are time-variant and require re-calibration for instance amplitude and phase drift, while other sources are random, which makes calibration unfeasible. The effects of such sources are analysed with a MIMO radar model using time-division multiplexed (TDM) frequency modulated waveforms. The direction-of-arrival (DOA) estimation error based on a discrete Fourier transform (DFT) together with the peak sidelobe level (PSL) are used as performance parameters

Original language	English
Title of host publication	Proceedings of the 17th European Radar Conference (EuRAD)
Publisher	IEEE
Publication date	2021
Pages	300-333
ISBN (Electronic)	978-2-87487-061-3
DOIs	https://doi.org/10.1109/EuRAD48048.2021.00091
Publication status	Published - 2021
Event	European Radar Conference (EURAD) - Utrecht, Netherlands Duration: 10 Jan 2021 → 15 Jan 2021

Conference

Conference	European Radar Conference (EURAD)
Country/Territory	Netherlands
City	Utrecht
Period	10/01/2021 → 15/01/2021

Keywords

MIMO radar
Direction-of-arrival
System imperfections
Channel drift
System noise

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title = "On the Impact of Channel Imbalance on MIMO Radar Performance",

abstract = "The multiple-input multiple-output (MIMO) radar systems suffer from several types of system imperfections such as antenna mutual coupling, channel imbalance, system hardware limitations, and noise. Through calibration the deterministic system imperfections can be significantly reduced. Some sources of system degradation are time-variant and require re-calibration for instance amplitude and phase drift, while other sources are random, which makes calibration unfeasible. The effects of such sources are analysed with a MIMO radar model using time-division multiplexed (TDM) frequency modulated waveforms. The direction-of-arrival (DOA) estimation error based on a discrete Fourier transform (DFT) together with the peak sidelobe level (PSL) are used as performance parameters",

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author = "Grove, {Ricard L.} and J{\o}rgen Dall",

year = "2021",

doi = "10.1109/EuRAD48048.2021.00091",

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booktitle = "Proceedings of the 17th European Radar Conference (EuRAD)",

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AU - Dall, Jørgen

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N2 - The multiple-input multiple-output (MIMO) radar systems suffer from several types of system imperfections such as antenna mutual coupling, channel imbalance, system hardware limitations, and noise. Through calibration the deterministic system imperfections can be significantly reduced. Some sources of system degradation are time-variant and require re-calibration for instance amplitude and phase drift, while other sources are random, which makes calibration unfeasible. The effects of such sources are analysed with a MIMO radar model using time-division multiplexed (TDM) frequency modulated waveforms. The direction-of-arrival (DOA) estimation error based on a discrete Fourier transform (DFT) together with the peak sidelobe level (PSL) are used as performance parameters

AB - The multiple-input multiple-output (MIMO) radar systems suffer from several types of system imperfections such as antenna mutual coupling, channel imbalance, system hardware limitations, and noise. Through calibration the deterministic system imperfections can be significantly reduced. Some sources of system degradation are time-variant and require re-calibration for instance amplitude and phase drift, while other sources are random, which makes calibration unfeasible. The effects of such sources are analysed with a MIMO radar model using time-division multiplexed (TDM) frequency modulated waveforms. The direction-of-arrival (DOA) estimation error based on a discrete Fourier transform (DFT) together with the peak sidelobe level (PSL) are used as performance parameters

KW - MIMO radar

KW - Direction-of-arrival

KW - System imperfections

KW - Channel drift

KW - System noise

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DO - 10.1109/EuRAD48048.2021.00091

M3 - Article in proceedings

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EP - 333

BT - Proceedings of the 17th European Radar Conference (EuRAD)

PB - IEEE

T2 - European Radar Conference (EURAD)

Y2 - 10 January 2021 through 15 January 2021

ER -

On the Impact of Channel Imbalance on MIMO Radar Performance

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