Using Spectral Estimation Techniques in Adaptive Processing Antenna Systems
Abstract
Improved spectral estimation techniques are becoming a valuable asset in adaptive processing array antenna systems. They are invaluable because the amount of additional useful information they can provide about the interference environment, utilizing only a relatively small number of degrees-of-freedom (DOF). The 'superresolution' capabilities, estimation of coherence, and relative power level determination serve to complement and refine the data from faster conventional estimation techniques. This report discusses two conceptual application area examples that use such techniques; partially-adaptive low- sidelobe arrays, and fully-adaptive tracking arrays. For the partially-adaptive area, the information is used for the efficient assignment of a limited number of DOF in a beamspace constrained adaptive system to obtain a stable mainbeam, retention of low sidelobes, considerably faster response, and reduction in overall cost. These benefits are demonstrated via simulation examples computed for a 16-element linear array. For the fully adaptive tracking array area, the information is used in an all-digital processing system concept to permit stable nulling of coherent interference sources in the mainbeam region, efficient assignment/control of the available DOF, and greater flexibility in time-domain adaptive filtering strategy. Keywords include: Adaptive arrays, Antennas, Nonlinear processing, Spectral analysis, Tracking, Digital processing, Optimal estimation, and Spatial filters.
Document Details
- Document Type
- Technical Report
- Publication Date
- Oct 09, 1985
- Accession Number
- ADA161670
Entities
People
- W. F. Gabriel
Organizations
- United States Naval Research Laboratory