Robust auto-focusing wideband DOA estimation
Signal Processing
Broadband ML estimation under model order uncertainty
Signal Processing
MUSIC-like DOA estimation without estimating the number of sources
IEEE Transactions on Signal Processing
Nested arrays: a novel approach to array processing with enhanced degrees of freedom
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Direction finding for wide-band signals using an interpolated array
IEEE Transactions on Signal Processing
Wavefield modeling and array processing .II. Algorithms
IEEE Transactions on Signal Processing
Adaptive beamforming algorithms with robustness against jammermotion
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
Detection of the Number of Signals Using the Benjamini-Hochberg Procedure
IEEE Transactions on Signal Processing
Derivative-constrained frequency-domain wideband DOA estimation
Multidimensional Systems and Signal Processing
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In this paper, we propose a new technique to estimate wideband source directions from the sensor snapshots without requiring to know the number of sources present in the scenario. This work is motivated by the fact that the existing model order estimation (number of sources) techniques for wideband source scenario are either inaccurate or computationally expensive. Direction-of-arrival (DOA) estimation is realized using a beamformer framework which imposes nulls in the spatial spectrum along the source directions. The null width along the frequency axis is widened by introducing a new data dependent term into the optimization problem, thus achieving wideband capability. Furthermore, the temporal processing of the data snapshots drastically reduces the number of snapshots required for wideband DOA estimation. The effectiveness of the proposed formulation is studied with simulated experiments.