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GLR detector in Gaussian interference environment with AutoRegressive spectrum in multi-channel of high-frequency surface wave radar
- Source :
- 2017 IEEE Microwaves, Radar and Remote Sensing Symposium (MRRS).
- Publication Year :
- 2017
- Publisher :
- IEEE, 2017.
-
Abstract
- This article explores the M-AR-GLR detector with regard to the Gaussian spectrum on the actual sea clutter that is collected by multi-channel HFSWR. In this study, we will show that a large number of elements have no effect on the correlation matrix of interference samples that cause to reduce the compute volume. Spatial dependence of received sample is less, detector performance will be better. Since the detector performance with fewer number of secondary data is suitable, it can be used in HFSWR. Also in the small signal to noise ratios, the proposed detector can be better than Kelly's GLR [1].
- Subjects :
- Physics
Covariance matrix
Gaussian
Acoustics
020208 electrical & electronic engineering
Detector
020206 networking & telecommunications
02 engineering and technology
law.invention
symbols.namesake
Interference (communication)
Autoregressive model
law
0202 electrical engineering, electronic engineering, information engineering
symbols
Electronic engineering
Clutter
Spatial dependence
Radar
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2017 IEEE Microwaves, Radar and Remote Sensing Symposium (MRRS)
- Accession number :
- edsair.doi...........94c13bb4e0a43a30121da10921853987
- Full Text :
- https://doi.org/10.1109/mrrs.2017.8075026