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 :
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