Convergence Rate in Adaptive Arrays.
Abstract
A generalized expression has been derived for the weight jitter noise in the output of a Gram-Schmidt self orthogonalizing network of any dimensionality. In earlier quarterly reports on this contract, it was shown that these networks transform the inputs to a set of independent variables, the networks can be utilized readily in either pilot signal or power inversion arrays for communications, and that this transformation provides fast convergence in cases of disparate eigenvalues where the more conventional circuits converge slowly. An alternative method of implementing a self-orthogonalizing array, using full feedback along each column, is more tolerant to failures at nodes in the network, but generates more weight jitter noise in the output for a given convergence rate.
Document Details
- Document Type
- Technical Report
- Publication Date
- May 23, 1978
- Accession Number
- ADA098920
Entities
People
- I. S. Reed
- J. D. Mallett
- L. E. Brennan
Organizations
- Technology Service Corporation