Estimation of Number of Signal Sources in Far Separated Subarrays

In this paper we study the estimation of the number of signal sources in a particular class of sparse linear array, characterized by several far separated sub-arrays. Since a large array aperture which is obtained with the sparse linear array can produces more robust reservation and very accurate an...

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Bibliographic Details
Published inIET Conference Proceedings p. D0379
Main Authors Yang, Qiang, Han, Ruibin
Format Conference Proceeding
LanguageEnglish
Published Stevenage, UK IET 2013
The Institution of Engineering & Technology
Subjects
Signal processing and detection
Signal processing theory
sparse linear array
sensor arrays
signal sources
number estimation
uniform linear array
far separated subarrays
estimation performances
array aperture
array signal processing
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Summary:In this paper we study the estimation of the number of signal sources in a particular class of sparse linear array, characterized by several far separated sub-arrays. Since a large array aperture which is obtained with the sparse linear array can produces more robust reservation and very accurate angle estimates at a reasonable cost, but a key issue in these problems is the detection of the number of signals. We evaluate the performances of estimation and compare with the performances in a uniform linear array. (4 pages)
ISBN:1849196036
9781849196031
DOI:10.1049/cp.2013.0323