Sebastian Hantscher, Alexander Reisenzahn, Christian Diskus,
"UWB Radar Noise Reduction for Target Classification"
, in IET Radar, Sonar & Navigation, Serie Special Issue on Signal Processing in Noise Radar Technology, Vol. 2, Nummer 4, Seite(n) 315-322, 8-2008
Original Titel:
UWB Radar Noise Reduction for Target Classification
Sprache des Titels:
Englisch
Original Kurzfassung:
The paper describes a calibration procedure for UWB radar systems in order to measure the frequency-dependent transfer function or radar cross section, respectively, of objects with a high computational efficiency. The benefit of using ultra-wideband pulses is that only one measurement is required for covering several GHz. However, the signal processing steps contain a deconvolution operation producing spike artefacts. They were successfully removed by the calculation of frequency dependent signal-to-noise ratio and a following Wiener filtering. The proposed method was verified by some elementary targets of which the size of the objects were determined.
Sprache der Kurzfassung:
Englisch
Journal:
IET Radar, Sonar & Navigation
Serie:
Special Issue on Signal Processing in Noise Radar Technology
Forschungs-