Mode Optimization for High-Resolution Electromagnetic Vortex Radar Sparse Imaging

The phase characteristics of vortex electromagnetic waves offer significant potential for forward-looking radar imaging. In recent years, compressed sensing (CS) enhances orbital angular momentum (OAM) forward-looking radar imaging under limited measurements. However, its performance is often bottlenecked by the observation matrix’s high mutual coherence, caused by the spatial overlap of different mode beams. To address this, we propose an OAM mode selection strategy that minimizes matrix correlation. This approach effectively alleviates the matrix’s ill-conditioned nature. Simulations demonstrate that our method significantly improves imaging accuracy and stability. Notably, despite reducing the required modes by up to 33%, it narrows the impulse response width by 0.5° compared to traditional methods.[PDF, EI]

Recommended citation:

Y. Wang, Y. Wei, G. Shu, and N. Li, “Mode Optimization for High-Resolution Electromagnetic Vortex Radar Sparse Imaging,” 2026 China Aerospace Information Technology Conference (CAIT), Tongxiang, China, 2026, pp. 1-4, doi: 10.1109/CAIT70489.2026.11553578.

bibtex:

@inproceedings{Wang2026ModeOptimization4EMVortexRadarImaging,
author = {Yitong Wang and Yixin Wei and Gaofeng Shu and Ning Li},
title = {Mode Optimization for High-Resolution Electromagnetic Vortex Radar Sparse Imaging},
volume = { },
booktitle = {2026 China Aerospace Information Technology Conference (CAIT)},
editor = { },
pages = {1-4},
	address={Tongxiang, China},
	days={8},
	month={May},
year = {2026},
doi = {10.1109/CAIT70489.2026.11553578},
}