Name
Abstract | ||
|---|---|---|
This paper considers a parametric approach for adaptive multichannel signal detection, where the disturbance is modeled by a multichannel auto-regressive (AR) process. Motivated by the fact that a symmetric antenna geometry usually yields a persymmetric structure on the covariance matrix of disturbance, a new persymmetric AR (PAR) modeling for the disturbance is proposed and, accordingly, a persymmetric parametric adaptive matched filter (Per-PAMF) is developed. The developed Per-PAMF, while allowing a simple implementation like the traditional PAMF, extends the PAMF by developing the maximum likelihood (ML) estimation of unknown nuisance (disturbance-related) parameters under the persymmetric constraint. Numerical results show that the Per-PAMF provides significantly better detection performance than the conventional PAMF and other non-parametric detectors when the number of training signals is limited. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/ICASSP.2012.6288411 | ICASSP |
Keywords | Field | DocType |
adaptive signal detection,par modeling,multichannel autoregressive process,symmetric antenna geometry,matched filters,persymmetric structure exploiting,signals training,ml estimation,nonparametric detectors,maximum likelihood estimation,multichannel,covariance matrices,nuisance parameters,adaptive matched filter,auto-regressive process,autoregressive processes,persymmetric ar modeling,persymmetric parametric adaptive matched filter,disturbance covariance matrix,antennas,per-pamf,multichannel signal processing,persymmetry,parametric multichannel adaptive signal detection,detectors,covariance matrix,vectors,signal to noise ratio | Pattern recognition,Detection theory,Computer science,Signal-to-noise ratio,Maximum likelihood,Parametric statistics,Artificial intelligence,Matched filter,Covariance matrix,Antenna geometry,Detector | Conference |
ISSN | ISBN | Citations |
1520-6149 E-ISBN : 978-1-4673-0044-5 | 978-1-4673-0044-5 | 0 |
PageRank | References | Authors |
0.34 | 5 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Pu Wang | 1 | 180 | 8.42 |
| Zafer Sahinoglu | 2 | 456 | 38.93 |
| Man-On Pun | 3 | 722 | 47.90 |
| Hongbin Li | 4 | 137 | 11.40 |