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A Coherence-Restoring Subspace Projection for Adaptive Array Spectral Estimation
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DOI：10.1109/ACCESS.2026.3671486.png)
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Abstract
En 中文
Wide-beam or single-transmit acquisitions often reduce local spatial coherence, breaking the narrowband model assumed by high-resolution array spectral estimators such as IAA and Capon and thereby degrading performance. We propose a discrete prolate spheroidal sequence (DPSS) subspace projection of delay-focused aperture data. This projection suppresses incoherent off-angle energy and restores local spatial coherence, enabling scanline-wise adaptive spectral estimation under severe model mismatch. Each delay-focused aperture vector is projected onto a DPSS subspace spanned by the first $K$ eigenvectors corresponding to a small angular bandwidth. The approach is lightweight, with precomputation and a per-point complexity of $\mathcal {O}(MK)$ , and integrates naturally into standard delay-focused processing pipelines. Frequency–angle plots reveal how the projection reconstructs coherent ridge structures that are otherwise obscured by wide-beam incoherence. Simulations in both plane-wave and diverging-wave ultrasound scenarios demonstrate improved resolution and contrast in single-transmit wide-beam imaging. Qualitative results on recorded channel data from the public PICMUS dataset provide an experimental sanity check and validation, indicating that the same coherence-restoration behavior is observed in real recordings. All experimental validation in this work is confined to ultrasound imaging; assessment of other array-processing applications is left for future work.
Keywords:
Adaptive beamforming
DPSS filtering
spectral estimation
spatial coherence
ultrasound imaging
wide-beam transmission