Abstract
This paper demonstrates the feasibility of detection and localization of multiple stationary human targets based on cross-correlation of the dual-station stepped-frequency continuous-wave (SFCW) radars. Firstly, a cross-correlation operation is performed on the preprocessed pulse signals of two SFCW radars at different locations to obtain the correlation coefficient matrix. Then, the constant false alarm rate (CFAR) detection is applied to extract the ranges between each target and the two radars, respectively, from the correlation matrix. Finally, the locations of human targets is calculated with the triangulation localization algorithm. This cross-correlation operation mainly brings about two advantages. On the one hand, the cross-correlation explores the correlation feature of target respiratory signals, which can effectively detect all targets with different signal intensities, avoiding the missed detection of weak targets. On the other hand, the pairing of two ranges between each target and two radars is implemented simultaneously with the cross-correlation. Experimental results verify the effectiveness of this algorithm.
Highlights
As an emerging technology, ultra-wideband (UWB) radars are widely used in the field of life detection with the development of signal-processing technology
The other first extracts a target range from the range Doppler (RD) plane that is formed by fast Fourier transform (FFT)-based energy accumulation of multiperiod echoes according to each transmit–receive channel, and the target location is calculated by integrating two extracted target ranges of two channels [21]
In the process of data acquisition, the reflected signals collected by the RA are filtered and amplified successively by a band-pass filter and a low-noise amplifier (LNA), and the I/Q demodulator performs the coherent demodulation with use of the reference signal
Summary
Ultra-wideband (UWB) radars are widely used in the field of life detection with the development of signal-processing technology. By performing Fourier transform along slow time, range information between radar and human target can be obtained, along with the extraction of respiration frequency. The other first extracts a target range from the range Doppler (RD) plane that is formed by fast Fourier transform (FFT)-based energy accumulation of multiperiod echoes according to each transmit–receive channel, and the target location is calculated by integrating two extracted target ranges of two channels [21]. These two methods have certain problems in the case of multiple human targets. False targets appear accompanied with the inevitable false pairing for some specific target locations
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