Forward scattering micro sensor for vehicle classification
In this paper we present results in studies into the use of forward scattering radar and SISAR (shadow inverse synthetic aperture radar) micro-sensors for vehicle classification. A number of experiments that represent non-ideal scenarios are introduced and the results show that the proposed system d...
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| creator | Cherniakov, M. Abdullah, R.S.A.R. Jancovic, P. Salous, M. |
| description | In this paper we present results in studies into the use of forward scattering radar and SISAR (shadow inverse synthetic aperture radar) micro-sensors for vehicle classification. A number of experiments that represent non-ideal scenarios are introduced and the results show that the proposed system does provide a viable classification system. We also studied the performance of the system when a network of sensors is used. Two scenarios of network deployment were tested and in both cases classification performance improved when compared to a single sensor system. In this paper, we used a single carried frequency to obtain both database and for classification. Further work is being currently carried out to study the effect of using different carrier frequencies on system performance. |
| doi_str_mv | 10.1109/RADAR.2005.1435816 |
| format | Conference Proceeding |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Diffraction Equations Frequency Radar cross section Radar scattering Road vehicles Robustness Signal analysis Signal resolution Testing |
| title | Forward scattering micro sensor for vehicle classification |
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