We present an algorithm that can detect and isolate a single passive antenna failure under the assumption of slowly time varying signal sources. Our failure detection algorithm recursively computes an eigenvalue decomposition of the covariance of the "syndrome" vector. The sensor failure is detected using the largest eigenvalue, and the faulty sensor is located using the corresponding eigenvector. The algorithm can also be used in conjunction with existing singular value decomposition or orthogonal triangularization based recursive antenna array processing methods.

Date Published: 1 December 1991
PDF: 10 pages
Proc. SPIE 1566, Advanced Signal Processing Algorithms, Architectures, and Implementations II, (1 December 1991); doi: 10.1117/12.49847

Published in SPIE Proceedings Vol. 1566:
Advanced Signal Processing Algorithms, Architectures, and Implementations II
Franklin T. Luk, Editor(s)