Name
Abstract | ||
|---|---|---|
Two detectors for broadband plane waves in colored noise fields that use a linear array are described. The signal spectrum, arrival angle, and 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 those of conventional Fourier-based methods. Detection results for real data are presented |
Year | DOI | Venue |
|---|---|---|
1993 | 10.1109/78.224250 | Signal Processing, IEEE Transactions |
Keywords | Field | DocType |
array signal processing,maximum likelihood estimation,parameter estimation,signal detection,Rao test,array processing,arrival angle,broadband plane waves,colored noise fields,generalized-likelihood-ratio test,linear array,signal detection,signal spectrum,two-dimensional mixed autoregressive models,weak-signal equivalent | Autoregressive model,Colors of noise,Likelihood-ratio test,Detection theory,Control theory,Algorithm,Fourier transform,Estimation theory,Statistics,Detector,Gaussian noise,Mathematics | Journal |
Volume | Issue | ISSN |
41 | 7 | 1053-587X |
Citations | PageRank | References |
13 | 2.38 | 5 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| S. Kay | 1 | 309 | 40.73 |
| V. Nagesha | 2 | 114 | 20.92 |
| Salisbury, J. | 3 | 13 | 2.38 |