DocumentCode
1409832
Title
Estimating the number of signals and signal resolution
Author
Huaijin Gu
Author_Institution
Dept. of Math. & Stat., Louisiana Tech. Univ., Ruston, LA
Volume
46
Issue
8
fYear
1998
fDate
8/1/1998 12:00:00 AM
Firstpage
2267
Lastpage
2270
Abstract
The nested likelihood ratios are shown to be asymptotically independent and sufficient for estimating the number of signals and to implement resolutions of superimposed signals into individual signals. As a result, estimating the number of signals can be reduced to a sequence of independent and simple tests. The procedure suggests an engineering sense that estimating the number of signals is based on complete resolutions of multiple signals. Simulations for estimating the number of overlapping echoes are given for illustration
Keywords
maximum likelihood estimation; sequences; signal reconstruction; signal resolution; D-sequence; multiple signals; nested likelihood ratios; overlapping echoes; signal numbers estimation; signal resolution; superimposed signals; Gaussian noise; Mathematics; Maximum likelihood estimation; Signal processing; Signal processing algorithms; Signal resolution; Signal to noise ratio; Statistical distributions; Statistics; Testing;
fLanguage
English
Journal_Title
Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1053-587X
Type
jour
DOI
10.1109/78.705462
Filename
705462
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