Greg Passmore
PassmoreLab, Austin, Texas, USA
Publications
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Research Article
Covariance Eigenanalysis for Direction Finding with Analytic Ray-Traced Steering Vectors
Author(s): Greg Passmore*
In our setup of multiple phased array antennas, the goal was to replicate current techniques for object location. For this, we incorporated Multiple Signal Classification (MUSIC), a subspace DOA estimator for multiple narrowband sources impinging on our phased arrays. This is based on the eigendecomposition of the sample spatial covariance R^ and the resulting partition CM of into orthogonal signal and noise subspaces. Candidate directions are evaluated by the noise-subspace projection energy d(theta) = â?£â?£UnHa(theta)â?£â?£22 and DOA hypotheses are taken from peaks of the reciprocal pseudospectrum PMUSIC(θ) = d(θ) −1. Here a(θ) is generated by our analytic ray tracer rather than a typical ideal plane-wave model. For each scan direction, the ray tracer r.. Read More»
