Adaptive Arrays in an Advanced Interference Environment.
Abstract
When an adaptive array is implemented digitally, the sample covariance matrix algorithm provides a direct method of computing the adaptive weights and rapid convergence independent of the eigenvalues of the covariance matrix. Previous analyses of this algorithm have assumed that the weights are computed using one set of array element outputs and these weights are applied to later array outputs. This report considers the case where the adaptive weights are tested against the same set of data used in the weight computation. For many applications, the multiple channel sidelobe canceller is the preferred adaptive configuration. It can be shown that the sidelobe canceller is a special case of the more general adaptive array. In the next section it is shown that the general adaptive array problem can be transformed to an equivalent sidelobe canceller problem, a form which is more convenient for some analyses. It is also shown that the array performance is independent of this transformation, and that the effective weights, output S/N, etc., can be computed in any convenient coordinate system provided the transformation of coordinates is non-singular.
Document Details
- Document Type
- Technical Report
- Publication Date
- Oct 24, 1979
- Accession Number
- ADA081913
Entities
People
- I. S. Reed
- L. E. Brennan
Organizations
- Technology Service Corporation