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
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;
Conference_Titel :
Systems Engineering, 1991., IEEE International Conference on
Conference_Location :
Dayton, OH, USA
Print_ISBN :
0-7803-0173-0
DOI :
10.1109/ICSYSE.1991.161163