Adaptive detection of multiple point-like targets with conic acceptance
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
In this paper we consider the problem of detecting multiple point-like targets in the presence of steering vector mismatches and Gaussian disturbance with unknown covariance matrix. To this end, we first model the actual useful signal as a vector belonging to a proper cone whose axis coincides with the whitened direction of the nominal array response. Then we develop two new robust adaptive detectors resorting to the two-step generalized-likelihood ratio test (GLRT) design procedure without assignment of a distinct set of secondary data. Finally, a performance assessment, conducted by Monte Carlo simulation, show that the proposed detectors achieve a visible performance improvement over their natural counterparts.
Original language | English |
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Title of host publication | 2011 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 - Proceedings |
Number of pages | 4 |
Publication date | 2011 |
Pages | 2684-2687 |
Article number | 5947038 |
ISBN (Print) | 9781457705397 |
DOIs | |
Publication status | Published - 2011 |
Externally published | Yes |
Event | 36th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 - Prague, Czech Republic Duration: 22 May 2011 → 27 May 2011 |
Conference
Conference | 36th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 |
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Land | Czech Republic |
By | Prague |
Periode | 22/05/2011 → 27/05/2011 |
Sponsor | Inst. Electr. Electron. Eng. Signal Process. Soc. |
Series | ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings |
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ISSN | 1520-6149 |
- Adaptive detection, constant false alarm rate (CFAR), generalized likelihood ratio test (GLRT)
Research areas
ID: 362748291