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Author Bell, Kristine L. ♦ Wage, Kathleen E.
Source CiteSeerX
Content type Text
File Format PDF
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Quadratic Pattern Constraint ♦ Adaptive Lcmv Beamforming ♦ Weighted Mean-square Error ♦ Adaptive Lcmv Processor ♦ Sidelobe Pattern Control ♦ General Rank ♦ Lcmv-qpc Approach ♦ Minimum Variance ♦ An-gular Region ♦ In-equality Constraint ♦ Hybrid Eigenspace Beamspace Technique ♦ Full Element-space Lcmv-qpc Performance ♦ Main Beam ♦ Additional Control ♦ Standard Lcmv Method ♦ Adaptive Beamforming ♦ Adaptive Pattern ♦ Hybrid Eigenspace Beamspace Beamformers ♦ Desired Beampattern ♦ Overall Performance ♦ Non-linear Array ♦ Adaptive Eigenspace ♦ Iterative Procedure ♦ Reduced Rank Ap-proaches ♦ Re-duced Rank
Abstract Linearly constrained minimum variance (LCMV) beamforming with quadratic pattern constraints (LCMV-QPC) is applied to re-duced rank partially adaptive beamforming. The problem is for-mulated for general rank reducing transformations. Main beam and sidelobe pattern control is achieved by imposing a set of in-equality constraints on the weighted mean-square error between the adaptive pattern and a desired beampattern over a set of an-gular regions. An iterative procedure for satisfying the con-straints is developed that can be applied as post-processing to standard partially adaptive LCMV processors. The technique is applied to fixed beamspace, adaptive eigenspace, and hybrid eigenspace/beamspace beamformers for both a linear and non-linear array. The LCMV-QPC approaches provide additional control over the sidelobes at the expense of slightly lower SINR than standard LCMV methods, mainly due to loss in the depth of the nulls placed on the jammers. Among the reduced rank ap-proaches, the hybrid eigenspace/beamspace technique achieves the best overall performance, which is close to full element-space LCMV-QPC performance. 1.
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study