DocumentCode
3519431
Title
Statistical nonidentifiability of close emitters: Maximum-likelihood estimation breakdown and its GSA analysis
Author
Abramovich, Yuri ; Johnson, Ben ; Spencer, Nick
Author_Institution
Surveillance & Reconnaissance Div., Defence Sci. & Technol. Organ., Edinburgh, SA
fYear
2009
fDate
19-24 April 2009
Firstpage
2133
Lastpage
2136
Abstract
We investigate the ldquoambiguity regionrdquo associated with erroneous maximum-likelihood (ML) direction-of-arrival (DOA) estimates of closely spaced signals, near and below the ldquoresolution limitrdquo. We demonstrate that the general statistical analysis (GSA) technique can accurately predict the ambiguity region for a given scenario. We consider that this prediction may be used together with the Barankin bound (BB) to form a more comprehensive description of maximum-likelihood estimation (MLE) performance in the problematic ldquothreshold regionrdquo where ML techniques suffer from a dramatic failure rate (ldquoperformance breakdownrdquo).
Keywords
array signal processing; direction-of-arrival estimation; maximum likelihood estimation; signal resolution; Barankin bound; GSA analysis; ambiguity region; direction-of-arrival estimation; general statistical analysis technique; maximum-likelihood estimation breakdown; signal resolution; Antenna arrays; Australia; Direction of arrival estimation; Electric breakdown; Histograms; Maximum likelihood estimation; Reconnaissance; Signal analysis; Surveillance; Technological innovation; Parameter estimation; array signal processing; maximum likelihood estimation; signal detection;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on
Conference_Location
Taipei
ISSN
1520-6149
Print_ISBN
978-1-4244-2353-8
Electronic_ISBN
1520-6149
Type
conf
DOI
10.1109/ICASSP.2009.4960038
Filename
4960038
Link To Document