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Direction Finding in Partly Calibrated Arrays Composed of Nonidentical Subarrays: a Computationally Efficient Algorithm for the Rank Reduction (RARE) Estimator

Abstract

We consider the direction finding problem in partly calibrated arrays composed of nonidentical subarrays which are displaced by unknown vector translations. A new computationally efficient algorithm is developed for the recently proposed RAnk REduction (RARE) estimator [1].

Authors

Pesavento M; Gershman AB; Wong KM; Böhme JF

Pagination

pp. 536-539

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Publication Date

January 1, 2001

DOI

10.1109/ssp.2001.955341

Name of conference

Proceedings of the 11th IEEE Signal Processing Workshop on Statistical Signal Processing (Cat. No.01TH8563)
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