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Rapid Convergence Rate in Adaptive Arrays

Reed, I.S., Mallett, J.D., Brennan, L.E.·1974·IEEE Transactions on Aerospace and Electronic Systems

Abstract

In many applications, the practical usefulness of adaptive arrays is limited by their convergence rate. The adaptively controlled weights in these systems must change at a rate equal to or greater than the rate of change of the external noise field (e.g., due to scanning in a radar if step scan is not used). This convergence rate problem is most severe in adaptive systems with a large number of degrees of adaptivity and in situations where the eigenvalues of the noise covariance matrix are widely different. A direct method of adaptive weight computation, based on a sample covariance matrix of the noise field, has been found to provide very rapid convergence in all cases, i.e., independent of the eigenvalue distribution. A theory has been developed, based on earlier work by Goodman, which predicts the achievable convergence rate with this technique, and has been verified by simulation.

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Metadata

Authors
Reed, I. S., Mallett, J. D., & Brennan, L. E.
Venue
IEEE Transactions on Aerospace and Electronic Systems
Published
1974-11
Volume
AES-10
Issue
6
Pages
853-863
ISSN
0018-9251 (ISSN-L)
OpenAlex
W2013438974
Cited by
2,203
References
0
FWCI
4.98
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Rapid Convergence Rate in Adaptive Arrays. https://app.cochat.ai/papers/10.1109/taes.1974.307893
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Reed, I. S., Mallett, J. D., & Brennan, L. E. (1974). Rapid Convergence Rate in Adaptive Arrays. IEEE Transactions on Aerospace and Electronic Systems. https://doi.org/10.1109/taes.1974.307893

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