Recursive Algorithms for Adaptive Array Antennas.
Abstract
The techniques define digital control algorithms based on least squares estimation methods to adjust the parameters of a multichannel array filter to perform automatic null steering. The algorithms are designed to converge to the optimal filter parameters (array weights) defined by the solution of a set of linear algebraic equations (a Wiener-Hopf type equation), and their relationship to Kalman filtering methods are discussed. Both convergence analysis and simulations demonstrate rapid convergence behavior; however, accurate computations appear to be required for some cases due to ill-conditioning of these equations. The basic recursive algorithm is derived for use with desired signal approximations, and several techniques for signal acquisition are discussed and simulated. Also, alternative algorithm forms based on using desired signal direction of arrival information are developed and simulated. Finally, the performance of the basic recursive algorithm is compared, through simulations, to the gradient (LMS) and random search methods. (Modified author abstract)
Document Details
- Document Type
- Technical Report
- Publication Date
- Mar 01, 1974
- Accession Number
- AD0778947
Entities
People
- Charles A. Baird Jr.