Multi-life-body intelligent detection device and method based on CPPWM-MIMO radar
A technology of intelligent detection and living body, applied in the direction of measurement device, electromagnetic wave detection, radio wave measurement system, etc., can solve the problem of high false alarm rate and missed alarm rate, and achieve enhanced robustness, intelligent detection, type and breathing Frequency efficient effect
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Embodiment 1
[0082] Such as figure 1 As shown, Embodiment 1 of the present invention provides a multi-living body intelligent detection device based on CPPWM-MIMO radar, which is characterized in that it includes a CPPWM signal generator 1, multiple power amplifiers 2, Vivaldi linear sparse array antenna 3, multiple Low-noise amplifier 4, multi-channel high-speed hybrid sampler 5 and data processing system; the CPPWM signal generator 1 generates orthogonal multi-channel CPPWM detection signals and simultaneously by setting the initial values of different Logistic mapping units and Tent mapping units One-to-one correspondence with multiple CPPWM reference signals. Orthogonal multi-channel CPPWM signals do not interfere with each other and do not affect each other. Each CPPWM detection signal is connected to a signal input end of a power amplifier 2 respectively, and each CPPWM reference signal is connected to a signal input end of a multi-channel high-speed hybrid sampler 5 respectively;...
Embodiment 2
[0093] Such as Figure 5 As shown, Embodiment 2 of the present invention provides a multi-living body intelligent detection method based on CPPWM-MIMO radar, based on figure 1 The shown a kind of device realizes, comprises the following steps:
[0094] S1. Chaotic correlation filtering and ranging: pairwise cross-correlation calculations are performed on each CPPWM echo signal and each CPPWM reference signal to obtain each cross-correlation curve, and matching filtering and ranging calculations are performed.
[0095] Taking the Vivaldi linear sparse array antenna 3 including six transmitting antennas 31 in the middle and three receiving antennas 32 on both sides as an example, pairwise cross-correlation is performed on the 6 CPPWM echo signals and the 6 CPPWM reference signals 36 (6×6) cross-correlation curves are calculated to realize matched filtering and distance estimation.
[0096] S2. Process the cross-correlation curve to obtain the life body information, and calcula...
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