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Biological radar human body target identification method based on zero crossing point technology

A bio-radar and human-target technology, applied in the field of UWB bio-radar human-target recognition algorithm, can solve the problems of weak echo signal of bio-radar, increase the difficulty of echo signal processing, and difficulty in technical realization, and improve the penetration ability. Effect

Inactive Publication Date: 2013-09-18
FOURTH MILITARY MEDICAL UNIVERSITY
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Problems solved by technology

[0004] At this stage, the impulse pulse UWB bio-radar technology mainly uses the human breathing signal as the detection index, and detects the micro-movement of the body surface caused by the target's breathing through precise ranging, which is difficult to realize.
Especially under penetration conditions, the attenuation of walls or ruins leads to very weak UWB biological radar echo signals, and it also contains a large number of reflection and scattering clutter from walls or ruins, interference from the surrounding environment, and various internal components of the system. noise, which further increases the difficulty of echo signal processing
Therefore, most of the research on UWB bio-radar echo signal processing technology revolves around the detection algorithm of human breathing signals, and the human target recognition algorithm based on this still needs further research.

Method used

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  • Biological radar human body target identification method based on zero crossing point technology
  • Biological radar human body target identification method based on zero crossing point technology
  • Biological radar human body target identification method based on zero crossing point technology

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Embodiment 1

[0038] This embodiment briefly describes the UWB bio-radar detection algorithm and features of human breathing:

[0039] Impulse pulse UWB biological radar adopts equivalent sampling technology, which can realize the detection within the set distance range. Since the distance information is measured by the delay between sending and receiving pulses, this distance range is usually called the time window of UWB biological radar. Continuously scan and measure the echo signals in the time window at a certain speed to obtain two-dimensional UWB biological radar echo signals and convert them into discrete data to meet the needs of storage and processing.

[0040] figure 1 It is a set of UWB biological radar echo data. The horizontal axis is the measurement time, and the unit is usually s; the vertical axis is the time window, which represents the delay of the UWB pulse echo, and the unit is usually ns, which can be converted into distance according to the pulse propagation speed. ...

Embodiment 2

[0045] This embodiment describes in detail the UWB bio-radar human target recognition algorithm based on zero-crossing technology:

[0046] Such as Figure 4 As shown, the algorithm includes four steps: zero-crossing point extraction, time-domain accumulation, signal-to-noise ratio estimation, and threshold judgment: zero-crossing point extraction realizes the quantification of UWB bioradar detection of human breath zero-crossing point characteristics, and time-domain accumulation compares the zero-crossing point in time The extraction results are accumulated to reduce the misjudgment caused by accidental factors; the signal-to-noise ratio is estimated to be used as a quantitative index for human target recognition; the threshold is set for the quantitative index to judge and finally realize the automatic recognition of human target.

[0047] 3.1 Zero-crossing extraction

[0048]For the convenience of analysis, the figure 2 Expand according to the measurement time, take mul...

Embodiment 3

[0071] This embodiment evaluates the effectiveness of the above algorithms:

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Abstract

The invention discloses a biological radar human body target identification method based on a zero crossing point technology. The method comprises following four steps of a zero crossing point extracting step, a time domain accumulating step, a signal to noise ratio estimating step and a threshold value judging step. The condition that human body breathing zero crossing point characteristic quantification is detected by a UWB (ultra-wide bandwidth) biological radar is realized in the zero crossing point extraction step; zero crossing point extraction results are accumulated at time in time domain accumulation step, so that misjudgment caused by accident factors is lowered; the signal to noise ratio estimation is used for quantitative indexes of human body target identification; and set threshold values of the quantitative indexes are judged, and automatic identification on a human body target is finally realized in the threshold value judging step.

Description

technical field [0001] The invention relates to the technical field of biological radar or radar life detection, in particular to a UWB biological radar human body target recognition algorithm based on zero-crossing technology. Background technique [0002] Bio-radar is a special form of radar used for the detection and identification of living objects, and it is an emerging cutting-edge technology recognized by the international scientific and technological community. This technology mainly uses the human body as the detection target, and uses the electromagnetic wave emitted by the radar as the carrier. It can penetrate obstacles such as ruins and walls, detect the movement of the human target, or the micro-movement of the body surface caused by vital signs such as breathing and heartbeat, and then judge whether there is a problem. A purposeless existence. Bio-radar has the characteristics of non-contact, strong penetrating power, and accurate positioning, and has broad a...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S7/41
Inventor 王健琪吕昊荆西京张杨焦腾路国华薛慧君于霄张华
Owner FOURTH MILITARY MEDICAL UNIVERSITY
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