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Experimental Proof of the Characteristics of Short-Range FM Radar Converted Signal Spectrum for a Smooth Surface

Experimental Proof of the Characteristics of Short-Range FM Radar Converted Signal Spectrum for a Smooth Surface
Abstract This paper presents a natural experiment of the spectral processing of 4.3 GHz Frequency Modulated Continuous Wave Radar (FMCWR) converted signal. The FMCWR antennas are fixed above a smooth reflective surface. The converted signal spectrum is theoretically calculated and compared with the experimental data.
- Riga Technical University Latvia
Microsoft Academic Graph classification: Surface (mathematics) Signal law.invention Optics Experimental proof law Range (statistics) Radar Remote sensing Physics business.industry Frequency spectrum Smooth surface Continuous-wave radar business
converted signal spectral processing, frequency modulated continuous wave radar (fmcwr), Motor vehicles. Aeronautics. Astronautics, mirror reflection, TL1-4050, Converted signal spectral processing; frequency modulated continuous wave radar (FMCWR); mirror reflection; smooth reflective surface, smooth reflective surface, Frequency Modulated Continuous Wave Radar (FMCWR)
converted signal spectral processing, frequency modulated continuous wave radar (fmcwr), Motor vehicles. Aeronautics. Astronautics, mirror reflection, TL1-4050, Converted signal spectral processing; frequency modulated continuous wave radar (FMCWR); mirror reflection; smooth reflective surface, smooth reflective surface, Frequency Modulated Continuous Wave Radar (FMCWR)
Microsoft Academic Graph classification: Surface (mathematics) Signal law.invention Optics Experimental proof law Range (statistics) Radar Remote sensing Physics business.industry Frequency spectrum Smooth surface Continuous-wave radar business
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Abstract This paper presents a natural experiment of the spectral processing of 4.3 GHz Frequency Modulated Continuous Wave Radar (FMCWR) converted signal. The FMCWR antennas are fixed above a smooth reflective surface. The converted signal spectrum is theoretically calculated and compared with the experimental data.