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Zhi-Yong Cheng

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Preprint Sep 2026

Fundamental Limits of Adaptive Beamforming Under Finite Training

Finite training reduces the output signal-to-interference-plus-noise ratio (SINR) of an adaptive beamformer, and a natural question is how much of this loss is unavoidable. This paper determines this question, providing a beamforming counterpart of the Cram\'er--Rao bound in spectral estimation. An exact identity expre...

Zhi-Yong Cheng, Sheng-Yao Chen, Di Song · 0 citations

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