Classification and Discrimination of Sources with Time-Varying Frequency and Spatial Spectra
Abstract
We introduce the quadratic sensor angle distribution (SAD) for near-field source characterization. The SAD is a joint-variable distribution and a dual in sensor number and angle to Cohen's class of time-frequency distributions. It provides the power at every angle for each sensor in the array. In this distribution, near-field sources have different angle for each sensor. We use a known test source to illuminate the local scatterer distribution we wish to characterize. The high-power test source can be removed via orthogonal projection so as to reveal the less powerful local scatter. It is shown that the eigen-decomposition of the quadratic representation of SAD lends itself to source representation via multiple subarray beam forming. The SAD can be used to clearly identify scatterers on the array axis both within and beyond the array extent. Distinction between far-field spatial spread source and near-filed point source can also be easily achieved.
Document Details
- Document Type
- Technical Report
- Publication Date
- Oct 01, 2002
- Accession Number
- ADA406349
Entities
People
- Moeness Amin
Organizations
- Villanova University