2023
DOI: 10.1109/access.2022.3233645
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Optimal Array Phase Center Study for Frequency-Domain Constrained Space-Time Broadband Beamforming

Abstract: The frequency-domain constrained broadband space-time beamformer has been widely used in many fields because of its excellent performance and no need for pre-steering delay. However, the beam response of the frequency-domain constrained space-time broadband beamformer depends heavily on the phase center location of the array. The wrong phase center location of the array will lead to undesirable wide main lobe and high side lobe. To choose the location of the phase center of the array correctly, this paper make… Show more

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“…However, the proposed linear constraint set consumes a large number of degrees of freedom (DOF) of the beamformer in advance, and when the degree of freedom consumption of desired signal is lower than that of the linear constraints, the degree of freedom is wasted. In addition, the beam response performance of these LCMV space-time broadband beamformers without presteering delay depends on the spatial reference point [11], and the algorithm stability is poor. In adaptive array Doppler processing, Brennan proposed an MVDR algorithm based on space-time covariance matrix [12], which can avoid the early loss of DOF and has good stability when applied to broadband spatial spectrum estimation.…”
Section: Introductionmentioning
confidence: 99%
“…However, the proposed linear constraint set consumes a large number of degrees of freedom (DOF) of the beamformer in advance, and when the degree of freedom consumption of desired signal is lower than that of the linear constraints, the degree of freedom is wasted. In addition, the beam response performance of these LCMV space-time broadband beamformers without presteering delay depends on the spatial reference point [11], and the algorithm stability is poor. In adaptive array Doppler processing, Brennan proposed an MVDR algorithm based on space-time covariance matrix [12], which can avoid the early loss of DOF and has good stability when applied to broadband spatial spectrum estimation.…”
Section: Introductionmentioning
confidence: 99%