Abstract
Statistical selection theory is used to detect the multiplicity of the smallest eigenvalues of the covariance matrix, computed using measured multi-channel multi-pulse radar data. A selection procedure is proposed to estimate the multiplicity and value of the smallest eigenvalue(s), which are significantly smaller than other eigenvalues. The probability of a correct selection, P(CS), and the least favorable configuration (LFC) for the procedures are derived.
| Original language | English (US) |
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| Pages | 451-456 |
| Number of pages | 6 |
| State | Published - 2000 |
| Externally published | Yes |
| Event | IEEE 2000 International Radar Conference - Alexandria, VA, USA Duration: May 7 2000 → May 12 2000 |
Other
| Other | IEEE 2000 International Radar Conference |
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| City | Alexandria, VA, USA |
| Period | 5/7/00 → 5/12/00 |
ASJC Scopus subject areas
- Electrical and Electronic Engineering