Measurement and evaluation of radar cross section for furniture in an indoor propagation channel

Abstract

Abstract. This paper has attempted to evaluate the radar cross section (RCS) of two furniture items in an indoor environment in a frequency range of 3–7 GHz of the ultra-wideband (UWB) range. The RCS evaluation is achieved through an extended version of the radar equation that incorporates the channel transfer function of scattering. The time-gating method was applied to remove the multipath effect, a phenomenon which typically occurs in the indoor environment. Two double-ridged waveguide horn antennas for both vertical and horizontal polarizations were used to obtain the transfer function of scattering of the furniture prior to analysis in order to derive their bistatic RCS. The RCS results validate the applicability of the proposed extended radar equation to the indoor propagation prediction.

Radar classification of indoor targets using support vector machines

“…Initial work [7] in separating humans from indoor clutter has shown promising results, based on which a more thorough investigation is undertaken in this paper. Prior work has focused on the effects of furniture scattering on radar detection of humans [8–13] as well as wireless propagation within buildings [14, 15], and limited work on characterising the radar cross‐sections (RCSs) of furniture [16]. Since indoor clutter is abundant within rooms, having knowledge of their scattering behaviour helps in developing techniques to detect and classify targets.…”

SVM based target classification using RCS feature vectors

“…Varying the frequency, polarization, and aspect angle allowed us to characterize the responses for a wide range of indoor clutter elements through finite difference time domain (FDTD) techniques. Limited work had been done mainly to explore the effects of furniture scattering on radar detection of humans 4-9 and on wireless propagation within buildings [10][11][12] ; however, little work 1-3 has been done on the characterization of detailed scattering patterns of individual furniture components. Since furniture elements are usually present in large numbers and variety in rooms within buildings, an understanding of the spectral and polarization properties of individual pieces of furniture are quintessential in developing algorithms to mitigate their clutter effects in radar and their multipath effects in wireless communications.…”