Nonuniform Array Processing Via the Polynomial Approach

Anthony J. Weiss, Alan S. Willsky, Bernard C. Levy

Research output: Contribution to journalArticlepeer-review

Abstract

A polynomial approach for maximum likelihood (ML) estimation of superimposed signals in time series problems and array processing was recently proposed [1]-[3]. This technique was applied successfully to linear uniform arrays and to uniformly sampled complex exponential signals. However, uniformly spaced arrays are not optimal for minimum variance estimation of bearing, range, or position, and uniform sampling of signals is not always possible in practice. In this communication we make use of the expectation-maximization (EM) algorithm in order to apply the polynomial approach to sublattice arrays and to missing samples in time series problems.

Original languageEnglish
Pages (from-to)48-55
Number of pages8
JournalIEEE Transactions on Aerospace and Electronic Systems
Volume25
Issue number1
DOIs
StatePublished - Jan 1989
Externally publishedYes

Fingerprint

Dive into the research topics of 'Nonuniform Array Processing Via the Polynomial Approach'. Together they form a unique fingerprint.

Cite this