Name
Abstract | ||
|---|---|---|
Classical high resolution spectral analysis methods for the estimation of complex sinusoids parameters require the a priori knowledge of the number of sinusoids. In most situations, the correctness of this knowledge is crucial. In this paper, we present a new high resolution sub-space method. Its novelty stems from the fact that the analysis of complex sinusoids is considered as a joint “detection-estimation” issue. Simulation results and an application on real radar signals are presented to illustrate the efficiency of this method |
Year | DOI | Venue |
|---|---|---|
1997 | 10.1109/ICASSP.1997.604790 | Acoustics, Speech, and Signal Processing, 1997. ICASSP-97., 1997 IEEE International Conference |
Keywords | DocType | Volume |
Gaussian noise,frequency estimation,maximum likelihood estimation,parameter estimation,radar signal processing,signal detection,signal resolution,spectral analysis,white noise,high resolution spectral analysis,high resolution sub-space method,joint detection-estimation scheme,noisy complex sinusoids analysis,parameter estimation,radar signals,simulation results,white Gaussian circular noise | Conference | 5 |
ISSN | ISBN | Citations |
1520-6149 | 0-8186-7919-0 | 0 |
PageRank | References | Authors |
0.34 | 2 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Poulalion, G. | 1 | 0 | 0.34 |
| Sylvain Morvan | 2 | 0 | 0.34 |
| Y. Berthoumieu | 3 | 389 | 51.66 |
| Mohamed Najim | 4 | 149 | 32.29 |