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Photonics-Based Broadband MIMO Radar With Segmented Digital Beamforming Enabling Beam Squint-Free Fast Imaging
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PRE
AI
J
张
G
Y
J
Y
Y
S
DOI：10.1109/jlt.2026.3703868.png)
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Abstract
En 中文
Photonics-based broadband multi-input multi-output (MIMO) radar is a promising solution for high-resolution 2D imaging. While the ultra-wide bandwidth enables centimeter-level range resolution, it fundamentally conflicts with conventional narrowband beamforming, introducing severe beam squint and degrading angular accuracy. Although scanning time delay (STD)-compensated digital beamforming (DBF) can mitigate this issue, its point-by-point phase compensation imposes a computational burden, hindering real-time applications. To resolve this problem, this paper proposes a computationally efficient segmented DBF algorithm. Leveraging the time-frequency mapping property of photonics-based de-chirped signals, the proposed algorithm divides the time-domain echo into sub-segments equivalent to frequency sub-bands. This allows for parallel narrowband processing that effectively eliminates beam squint and suppresses grating lobes without the heavy computational cost of STD compensation. The system is experimentally validated using a 2 × 4 photonics-based MIMO radar with an 8 GHz bandwidth. Results demonstrate a range resolution of 2.04 cm and an angular resolution of 1.0°. Notably, the proposed algorithm achieves an imaging speed 7.1 times faster than the STD-compensated DBF algorithm while maintaining comparable imaging quality.
Keywords:
Beam squint
digital beamforming (DBF)
fast imaging
multi-input multi-output (MIMO)
photonics-based broadband radar
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4.8
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