Multi-target vital sign detection method based on subspace method and DBF

Abstract

The invention relates to a multi-target vital sign detection method based on a subspace method and a DBF, and the method comprises the steps: carrying out the preliminary screening and positioning of a whole indoor three-dimensional space through employing the subspace method, and extracting a candidate target signal subspace; and performing digital beam forming and weighting on the angle in the candidate target signal subspace by using a DBF method, and further judging the specific accurate position information of the target through the amplitude. According to the method, a subspace algorithm is utilized, the defects that existing digital beam forming is extremely prone to being interfered by external signals, low in signal-to-noise ratio, poor in imaging effect and dependent on a large array scale are overcome, indoor high-precision multi-target life body positioning is achieved, and further vital sign detection is carried out on the target existing position.

Description

technical field [0001] The invention relates to a technology in the field of digital beamforming, in particular to a multi-target vital sign detection method using MIMO radar based on digital beamforming and a subspace method. Background technique [0002] Digital beamforming (Digital Beamforming, DBF) refers to the control of the amplitude and phase of the signal received by each antenna in the digital domain for the antenna array, so as to achieve the formation of lobes in a certain direction of the overall array. It is a common method for MIMO radar to distinguish multiple targets and multiple angles. However, when applied to indoor multi-target vital sign monitoring, the signal received by the radar not only includes the echo of the transmitted signal, but also various scattered echoes, stray echoes, spatial noise, and interference of the transmitted signal. signal and so on. Therefore, simply using the phase difference between receiving array units often cannot accura...

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Problems solved by technology

[0003] The present invention aims at the above-mentioned deficiencies existing in the prior art, and proposes a multi-target vital sign detection method based on the subspace method and DBF, and uses the subspace algorithm to get rid of the Existing digital beamforming is extremely susceptible to external signal interference, low signal-to-noise ratio, poor imaging effect, and relies on large-scale array defects. Sign detection

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