Estimation of Radar Cross Section of a Target under Track. (7th October 2010)
- Record Type:
- Journal Article
- Title:
- Estimation of Radar Cross Section of a Target under Track. (7th October 2010)
- Main Title:
- Estimation of Radar Cross Section of a Target under Track
- Authors:
- Jung Jung, Young-Hun Young-Hun
Hong Hong, Sun-Mog Sun-Mog
Choi Choi, Seung Ho Seung Ho - Other Names:
- Ehlers Ehlers Frank Frank Academic Editor.
- Abstract:
- Abstract : In allocating radar beam for tracking a target, it is attempted to maintain the signal-to-noise ratio (SNR) of signal returning from the illuminated target close to an optimum value for efficient track updates. An estimate of the average radar cross section (RCS) of the target is required in order to adjust transmitted power based on the estimate such that a desired SNR can be realized. In this paper, a maximum-likelihood (ML) approach is presented for estimating the average RCS, and a numerical solution to the approach is proposed based on a generalized expectation maximization (GEM) algorithm. Estimation accuracy of the approach is compared to that of a previously reported procedure.
- Is Part Of:
- EURASIP journal on advances in signal processing. Volume 2010(2010)
- Journal:
- EURASIP journal on advances in signal processing
- Issue:
- Volume 2010(2010)
- Issue Display:
- Volume 2010, Issue 2010 (2010)
- Year:
- 2010
- Volume:
- 2010
- Issue:
- 2010
- Issue Sort Value:
- 2010-2010-2010-0000
- Page Start:
- Page End:
- Publication Date:
- 2010-10-07
- Subjects:
- Signal processing -- Periodicals
Traitement du signal
Signal processing
Periodicals
621.3822 - Journal URLs:
- https://asp-eurasipjournals.springeropen.com/ ↗
http://link.springer.com/ ↗
http://www.hindawi.com/journals/asp/ ↗ - DOI:
- 10.1155/2010/610920 ↗
- Languages:
- English
- ISSNs:
- 1687-6172
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 25228.xml