Array Processing for Discrete and Distributed Sources
Abstract
Array processing techniques are primarily designed for point sources, i.e. spatially discrete sources of acoustic or electromagnetic energy. However, in many cases the transmitter is better modeled as a distributed, rather than a discrete source. The principal mechanism for making the source appear to be distributed in space is diffuse and specular multipath caused by scattering of the propagating waves. Another is transmitter motion. The goal of this project was to develop array processing techniques for distributed sources. The vector of the signals received by an array from a distributed source resides in a Grassmanian manifold. This is the natural extension of the array manifold used in the case of point sources, which can be considered to be a special (rank one) case of a subspace manifold. In other words, whereas the response of an array to discrete sources is characterized by what is commonly called the array manifold, its response to a distributed source is characterized by a subspace manifold.
Document Details
- Document Type
- Technical Report
- Publication Date
- Dec 15, 2004
- Accession Number
- ADA428940
Entities
People
- Benjamin Friedlander
Organizations
- University of California, Santa Cruz