Breathing signal detection algorithm based on ultra wide band radar
An ultra-wideband radar and breathing signal technology, applied in the field of electromagnetic fields and microwaves, can solve the problems of inability to obtain position information, high computational complexity, and high signal-to-noise ratio of source signals, and achieve high computational efficiency, improve signal-to-noise ratio, and suppress noise Effect
Inactive Publication Date: 2017-09-15
PEKING UNIV
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However, the detection algorithm using the FFT method has higher harmonics, the detection algorithm using the wavelet transform method cannot obtain position information, the algorithm using the singular value decomposition method has high computational complexity, and the detection algorithm using the equal-amplitude tracking method requires source signal noise. higher than
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[0060] The present invention is further illustrated by implementing examples. The method flow chart of the present invention is as figure 1 shown.
[0061] (1) In this example, a human target is set in the observation environment, and the ultra-wideband radar PulseON440 is used to transmit pulses to the observation environment at a pulse repetition frequency of 8 Hz and sample and quantify the echo data to form two-dimensional slow time-fast time data r(m ,n).
[0062] (2) Apply the fourth-order differential Motion Filter FIR4 filter to the echo data r(m,n) in the slow time direction to remove background noise, and obtain the result r mf (m,n).
[0063] (3) to r mf (m,n) is divided into blocks along the slow time direction as r mf i (m,n). block diagram as figure 2 shown. figure 2 In , the dotted line array represents the echo slow time-fast time matrix. Each of the three solid-line rectangular boxes 1, 2, and 3 represents a block. The definitions of block spacing...
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The invention discloses a breathing signal detection algorithm based on an ultra wide band radar. The method comprises steps of Motion Filter; echo data blocking; breathing signal enhancement; breathing signal correlation superposition; and Gaussian noise erasing of multi-coefficient attenuation. When a human object is in a radar observation environment, echo data is blocked in the direction of slow time, wherein each block of data comprises a breathing signal but noise between blocks are irrelevant. Correlation superposition is performed on each block of data in the frequency domain, so breathing signals are enhanced and noise is randomly distributed in the whole frequency observation space in a steady state. Through single block distance-frequency data breathing signal enhancement, weak breathing signals are protected. Through superposition and distance-frequency data breathing signal enhancement, the breathing signals are effectively enhanced and noise in the whole frequency observation space is restrained. Through the step of Gaussian noise erasing of multi-coefficient attenuation, noise is gradually attenuated and the expected noise average value is attenuated to 0. According to the invention, white noise and color noise components can be effectively removed and weak breathing signals can be detected.
Description
technical field [0001] The invention relates to the technical fields of electromagnetic fields and microwaves, in particular to a breathing signal detection algorithm based on ultra-wideband radar. Background technique [0002] Human beings are faced with many natural and man-made disasters, and the lives trapped during or after disasters are seriously threatened. Timely and effective life location and search have become a crucial issue. Real-time health status monitoring of the elderly is an issue that needs attention. In some criminal environments and military struggle environments such as anti-terrorism and street fighting, criminals or hostile elements are hidden in various bunkers. At this time, they need to be judged and located accurately in a timely manner. The timely and accurate judgment of the existence and location of living organisms, the real-time monitoring of the breathing state of life, and other potential applications will all have great value. Therefore,...
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Login to View More IPC IPC(8): G01S13/88G01S13/10G01S7/292G01S7/41
CPCG01S13/887G01S7/023G01S7/292G01S7/41G01S13/106
Inventor 韩元霖李廉林
Owner PEKING UNIV