Forward scattering radar (FSR) target signal processing using wavelet technique (WT) / Che Wan Fareez Che Wan Fadhil
Micro-sensor Forward Scattering Radar (FSR) is a network system that been used to detect and classify any ground target (personnel, vehicle) that crossing by or entering the coverage or restricted area. The efficiency of the classification performance is highly dependent on the information extracted...
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| Format: | Thesis |
| Language: | English |
| Published: |
2014
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| Subjects: | |
| Online Access: | https://ir.uitm.edu.my/id/eprint/81939/1/81939.pdf |
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| Summary: | Micro-sensor Forward Scattering Radar (FSR) is a network system that been used to detect and classify any ground target (personnel, vehicle) that crossing by or entering the coverage or restricted area. The efficiency of the classification performance is highly dependent on the information extracted from the signal. The choice of transformation techniques which can reveal the information of the target should be chosen carefully. Hence, this research will looks into Wavelet Technique (WT) which give scales and variation information respectively. This information will be extracted and become the input to the classification process. The result from the wavelet technique shows that we can find the similarity between signals of each target and dissimilarity between different targets. |
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