Title :
Power-law processors for detecting unknown signals in colored noise
Author :
Kirsteins, Jvars P. ; Mehta, Sanjay K. ; Fay, John
Author_Institution :
Naval Underwater Syst. Center, Newport, RI, USA
Abstract :
We propose a new non-parametric adaptive detector for detecting an unknown broadband signal in interference consisting of non-stationary narrowband components and a locally stationary broadband component. An important feature of this detector is that it needs no prior information about the signal or interference. The proposed detector is based on the integration of the non-parametric power law detector of Nuttall (see NUWCDIVNPT Technical Report 10,751, 16 September, 1994) with robust narrowband interference removal and whitening using a multiple taper spectral estimation-based technique. Experimental results indicate that the proposed detector outperforms conventional detectors
Keywords :
adaptive signal detection; interference (signal); interference suppression; noise; signal processing; spectral analysis; colored noise; experimental results; interference; locally stationary broadband component; multiple taper spectral estimation; narrowband interference removal; nonparametric adaptive detector; nonparametric power law detector; nonstationary narrowband components; power-law processors; unknown broadband signal; unknown signal detection; Adaptive signal detection; Colored noise; Computer vision; Detectors; Interference; Narrowband; Robustness; Signal detection; Signal processing; Writing;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1997. ICASSP-97., 1997 IEEE International Conference on
Conference_Location :
Munich
Print_ISBN :
0-8186-7919-0
DOI :
10.1109/ICASSP.1997.599680