346 research outputs found
2-D Coherence Factor for Sidelobe and Ghost Suppressions in Radar Imaging
The coherence factor (CF) is defined as the ratio of coherent power to
incoherent power received by the radar aperture. The incoherent power is
computed by the multi-antenna receiver based on only the spatial variable. In
this respect, it is a one-dimensional (1-D) CF, and thereby the image sidelobes
in down-range cannot be effectively suppressed. We propose a two-dimensional
(2-D) CF by supplementing the 1-D CF by an incoherent sum dealing with the
frequency dimension. In essence, we employ both spatial diversity and frequency
diversity which, respectively, enhance imaging quality in cross range and
range. Simulations and experimental results are provided to demonstrate the
performance advantages of the proposed approach.Comment: 7 pages, 21 figure
Radar Human Motion Recognition Using Motion States and Two-Way Classifications
We perform classification of activities of daily living (ADL) using a
Frequency-Modulated Continuous Waveform (FMCW) radar. In particular, we
consider contiguous motions that are inseparable in time. Both the
micro-Doppler signature and range-map are used to determine transitions from
translation (walking) to in-place motions and vice versa, as well as to provide
motion onset and the offset times. The possible classes of activities post and
prior to the translation motion can be separately handled by forward and
background classifiers. The paper describes ADL in terms of states and
transitioning actions, and sets a framework to deal with separable and
inseparable contiguous motions. It is shown that considering only the
physically possible classes of motions stemming from the current motion state
improves classification rates compared to incorporating all ADL for any given
time
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