ADAPTIVE DETECTION OF STATIONARY GAUSSIAN SIGNALS AGAINST A NORMAL NOISE BACKGROUND, WITH A CONSTANT FALSE-ALARM RATE
PACS number: 84.40.Xb Purpose: Efficiency analysis of the Cell-Averaging Constant False Alarm Rate processor (CA CFAR-processor) as applied to detection of stationary Gaussian signals against a normal noise background with unknown and/or varying from scan to scan power.Design/methodology/approach: S...
Saved in:
| Date: | 2017 |
|---|---|
| Main Author: | Galushko, V. G. |
| Format: | Article |
| Language: | Russian |
| Published: |
Видавничий дім «Академперіодика»
2017
|
| Subjects: | |
| Online Access: | http://rpra-journal.org.ua/index.php/ra/article/view/1271 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Journal Title: | Radio physics and radio astronomy |
Institution
Radio physics and radio astronomySimilar Items
-
ANALYSIS OF THE CHIRPLET TRANSFORM-BASED ALGORITHM FOR RADAR DETECTION OF ACCELERATED TARGETS
by: Galushko, V. G., et al.
Published: (2017) -
Adaptive Detection of Stationary Gaussian Signals Against a Normal Noise Background, with a Constant False-Alarm Rate
by: V. G. Galushko
Published: (2017) -
The practical aspect of using the artificial intellectual technology for building a multidimentional function CFAR for smart-handled LPI radar
by: Kosovets, M.A., et al.
Published: (2020) -
A method of adaptive binarization of halftone images with additional processing on use of signal-to-noise ratio
by: Egorov, P. M., et al.
Published: (2020) -
MITIGATING INTERFERENCE IN DYNAMIC SPECTRA IN THE PRESENCE OF POWERFUL SIGNALS. Part 1. POWERFUL BROADBAND PULSES AND LINEAR FREQUENCY-MODULATED INTERFERENCE
by: Ryabov, V. B., et al.
Published: (2024)