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The study aims to improve beamforming performance in LEO satellite systems amidst DOA estimation errors and interference.

June 4, 2026SensorsOpen Access

Hybrid Robust Beamforming Optimization for LEO Satellite Communications Under DOA Estimation Errors in Spectrum Sharing Scenarios

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The study aims to improve beamforming performance in LEO satellite systems amidst DOA estimation errors and interference.
Proposed a Hybrid Optimized Robust Beamforming (HORBA) algorithm.
Constructed a robust joint optimization model addressing DOA errors and outdated CSI.
Decoupled the non-convex problem into convex subproblems using generalized eigenvalue decomposition.
The algorithm outperformed benchmarks in sum rate and robustness, P<0.01.
Maintained low onboard processing complexity.
Effectively alleviated edge user rate polarization.

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Randomized trial demonstrates improved performance in LEO satellite communications, suggesting enhanced user connectivity.

Wang et al. (2026) studied this question.

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