UWB Radar Signal Processing for Positioning of Persons Changing Their Motion Activity

In many applications of ultra-wideband (UWB) radar a character of target motion is a priori not known and naturally can differ within a group of multiple targets. Usually a signal processing aimed at the positioning of only moving persons or only static persons leads to a loss of information. To solve this task, the utilization of combined processing based on detection of non-stationary signal components in the time domain and human respiratory motions in the frequency domain is proposed in this paper. The results of such processing are more reliable and robust with respect to motion activity of all monitored persons, which is demonstrated by processing of measured UWB radar signals.

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