On optimal dimension reduction for sensor array signal processing
Signal Processing
Convex Optimization
Wideband array processing using a two-sided correlationtransformation
IEEE Transactions on Signal Processing
Efficient wideband source localization using beamforming invariancetechnique
IEEE Transactions on Signal Processing
The role of linear semi-infinite programming in signal-adapted QMFbank design
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
An Analysis of Beam-Space Source Localization
IEEE Transactions on Signal Processing
On focusing matrices for wide-band array processing
IEEE Transactions on Signal Processing
On focusing matrices for wide-band array processing
IEEE Transactions on Signal Processing
Direction finding using beamspace root estimator banks
IEEE Transactions on Signal Processing
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In this paper, we present an adaptive beamspace focusing technique for the direction of arrival (DOA) estimation of wideband signals. The proposed focusing scheme can perform coherent signal subspace transformation in the beamspace domain without preliminary DOA estimation or iteration. It can maintain low focusing error over a predefined sector-of-interest in the field-of-view (FOV) of the array while adaptively suppressing out-of-sector sources. The beamspace gain outside the sector-of-interest is controlled via additional constraints that provide robustness against moving or suddenly appearing out-of-sector sources. We formulate the adaptive beamspace design problem as a second-order cone program (SOCP) that can be solved efficiently using interior point methods. Numerical simulations are presented showing the superior performance of our approach compared to classical non-adaptive beamspace focusing techniques.