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Forward/backward spatial smoothing techniques for coherent signal identification

1989/01/01 by S.U. Pillai, B.H. Kwon, Byung Ho Kwon · 1,204 citations
Computer Science · Earth and Planetary Sciences · Engineering · Mathematics · #Algorithm #Computer science #Context (archaeology) #Covariance #Covariance function #Covariance matrix #Direction of arrival #Direction-of-Arrival Estimation Techniques #Geography #Mathematics #Matrix (chemical analysis) #Radar Systems and Signal Processing #SIGNAL (programming language) #Set (abstract data type) #Smoothing #Statistics #Telecommunications #Underwater Acoustics Research

paper · doi:10.1109/29.17496

published in IEEE Transactions on Acoustics Speech and Signal Processing 37(1), 8-15 (Institute of Electrical and Electronics Engineers)

openalex publication_date 1989/01/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/29

Abstract

A spatial smoothing scheme is further investigated in the context of coherent signal classification. It is shown that by making use of a set of forward and complex conjugated backward subarrays simultaneously, it is always possible to estimate any K directions of arrival using at most 3K/2 sensor elements. This is achieved by creating a smoothed array output covariance matrix that is structurally identical to a covariance matrix in some noncoherent situation. By incorporating eigenstructure-based techniques on this smoothed covariance matrix, it then becomes possible to correctly identify all directions of arrival irrespective of their correlation.>

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