Broadband Detection Based on Two-Dimensional Mixed Autoregressive Models
Document Type
Article
Date of Original Version
1-1-1993
Abstract
Two new detectors are described to detect a broadband plane wave in a colored noise field using a line array. The signal spectrum and arrival angle as well as the noise field coloration are not known a priori. Using a two-dimensional mixed autoregressive model, a generalized likelihood ratio test and its weak-signal equivalent, the Rao test, are derived. The performances of the proposed detectors are shown by computer simulations to be superior to conventional Fourier-based methods. Finally, the detection results based on real data are presented. © 1993 IEEE
Publication Title, e.g., Journal
IEEE Transactions on Signal Processing
Volume
41
Issue
7
Citation/Publisher Attribution
Kay, Steven M., Venkatesh Nagesha, and John Salisbury. "Broadband Detection Based on Two-Dimensional Mixed Autoregressive Models." IEEE Transactions on Signal Processing 41, 7 (1993): 2413-2428. doi: 10.1109/78.224250.