1. A Method to Detect Multi-components Linear FM Signal
- Author
-
Ma Hongguang, Zhang Jiawen, Ai Ming-shun, and Wang Linghuan
- Subjects
Radon transform ,Estimation theory ,business.industry ,Computation ,ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION ,Pattern recognition ,Signal ,Time–frequency analysis ,Support vector machine ,Cluster labeling ,Detection theory ,Artificial intelligence ,business ,Mathematics - Abstract
The support vector clustering (SVC) algorithm was introduced to get the number of the pinnacles in the result of the time-frequency analysis and Radon transform of the multi-component linear FM (LFM) signal, and to finish the detection of the components of the LFM signal. Meanwhile, the preprocessing to reduce the points' number of the input data-set for SVC, was proposed to improve the computation efficiency. And a novel cluster labeling method was developed to improve the SVC algorithm. The simulation results depict that the SVC-Radon-time-frequency approach is efficient for the detection and parameter estimation of the multi-component LFM signal with low SNR
- Published
- 2006