Computer-aided methods of the LPI radar signal detection and classification
In: SPIE Proceedings, 2007-10-21
Online
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Zugriff:
The paper describes a possible structure of the LPI radar signal classification algorithm based on using a computer system with elements of the artificial intelligence (AI). Such an algorithm uses a combination of different signal processing tools such as the Wigner-Ville Distribution, the Wavelet Transform and the Cyclostationary Signal Analysis. The efficiency of these transformations with respect to different kinds of digital LPI radar signal modulation is considered. For a final classification and parameters extraction on the base of time-frequency or bifrequency representation the artificial intelligence methods can be used. One of the possible approaches to solving the radar signal classification problem is to use a proposed in the paper algorithm which consists of several steps: time-frequency or bifrequency transformations, a noise reduction procedure with using a two-dimensional filter, the RBF artificial neural network (NN) probability density function estimator which extracts the feature vector used for the final radar signal classification without an operator.
Titel: |
Computer-aided methods of the LPI radar signal detection and classification
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Autor/in / Beteiligte Person: | Janczak, Dariusz ; Grishin, Yury |
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Zeitschrift: | SPIE Proceedings, 2007-10-21 |
Veröffentlichung: | SPIE, 2007 |
Medientyp: | unknown |
ISSN: | 0277-786X (print) |
DOI: | 10.1117/12.784898 |
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