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Radar Target Recognition Based On Multi-features Fusion

Posted on:2011-07-14Degree:MasterType:Thesis
Country:ChinaCandidate:J ChenFull Text:PDF
GTID:2178360305964125Subject:Signal and Information Processing
Abstract/Summary:PDF Full Text Request
Radar target recognition is a hot research topic in radar signal processing field now, which has a very special mean in war at modem times. As the city circumstance becoming more and more complexity, the low altitude, small and slowly flying targets'detection and classification has been a very important problem. The great mass of active service radar is low-resolution radar. To recognize the targets in the ground and in the sky based on the low-resolution radar signal processing has practical signify.The traditional target detection method often based on the energy of received signal. By setting a proper threshold, those signals which larger than the threshold are regarded as a target. A problem that those signals contain both the interested and the uninterested .To solve this problem, a multi-feature detection/classification method based on the measured data was proposed in this paper. This method requires no extra processing rather than a mere store of the data after MTI processing. The feature extraction has been done based on the output of pro-process and select the effective combinations of those features test them by SVM classifier. This paper is organized as follows: firstly study the basic knowledge of the low-resolution radar target recognition, secondly analyze their properties in time and frequency domain, and then propose several feature-extraction methods and performed some classification experiments based on support vector machine (SVM). The result shows the methods are efficient, finally, the fusion result were implemented using the output of the SVM by several fusion methods. The validity of this method has been proved by measured data.Feature extraction plays a key role in target recognition. Picking-up effective characteristics can greatly improve the identify performance. The results show that the radar target recognition method based on the multi-feature can recognize the air target from the cars in the complex background, especially. This method can get a high recognition performance, real-time processing and easy to implement. At the same time, this method can also be used in the other radar systems to detect and classify the different targets.
Keywords/Search Tags:low-resolution radar, target recognition, feature extraction, SVM classifier
PDF Full Text Request
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