DocumentCode
3473763
Title
Testing hypothesis for signal detection
Author
Lou, Kang-Ning ; Fan, Tsai-Hung
Author_Institution
Sch. of Mech. Eng., Purdue Univ., West Lafayette, IN, USA
fYear
1993
fDate
1-3 Aug. 1993
Firstpage
404
Lastpage
407
Abstract
A root test for signal detection based on a family of autoregressive (AR) spectral estimates is evaluated. It is observed that the root test fails for the strong narrowband noise case and is asymptotically inconclusive. A ratio test is also studied. The two AR spectra with order n and 2n are dependent. since they use the same first n correlation information. It will be difficult to find the joint density function of the ratio of the two AR spectra above. An example is included.<>
Keywords
correlation methods; parameter estimation; signal detection; spectral analysis; autoregressive spectral estimates; correlation information; ratio test; root test; signal detection; strong narrowband noise; Correlation; Parameter estimation; Signal detection; Spectral analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems Engineering, 1991., IEEE International Conference on
Conference_Location
Dayton, OH, USA
Print_ISBN
0-7803-0173-0
Type
conf
DOI
10.1109/ICSYSE.1991.161163
Filename
161163
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