Forward/Backward Spatial Smoothing Techniques For Coherent Signal Identification

S. Unnikrishna Pillai, Byung Ho Kwon

Research output: Contribution to journalArticlepeer-review


In the context of coherent signal classification, a spatial smoothing scheme first suggested by Evans et al., and subsequently studied by Shan et al., is further investigated. It is proved here 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 the eigenstructure-based techniques on this smoothed covariance matrix, it then becomes possible to correctly identify all directions of arrival irrespective of their correlation.

Original languageEnglish (US)
Pages (from-to)8-15
Number of pages8
JournalIEEE Transactions on Acoustics, Speech, and Signal Processing
Issue number1
StatePublished - Jan 1989

ASJC Scopus subject areas

  • Signal Processing


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