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探测人体呼吸的多普勒搜救雷达数字信号处理
引用本文:奥列格V·西特尼科.探测人体呼吸的多普勒搜救雷达数字信号处理[J].雷达科学与技术,2013,11(2):111-117.
作者姓名:奥列格V·西特尼科
作者单位:Radiophysical Introscopy Department;Institute of Radiophysics and Electronics of NASU;Kharkov;61085;Ukraine
摘    要:描述了相干多普勒雷达人体呼吸回波信号的试验研究结果,给出了信息处理的频谱与时域实现及其统计特性。试验表明,在微波频段的声音信号中,人体呼吸引起的回波信号相位调制产生的过程具有周期性关联随机过程的特性。基于等距栅格对该过程的统计特性进行计算,其周期与过程关联周期相等。文中提出了一种随机准则来估算关联周期。对基于等距栅格的过程的遍历性作了理论验证和试验证实。

关 键 词:相干多普勒雷达  谱函数信息处理  统计特性  关联随机过程

Digital Signal Processing in Doppler Radar for Rescuers to Detection of Human Breathing
Abstract:This paper describes the results from experimental studies on the coherent Doppler radar sig- nals echoed from a human being. Spectral and temporal realizations of informational processes and their sta- tistical characteristics are presented. It is shown that in the microwave-band sounding signal the process gen- erated by the echo-signal phase modulation caused by human breathing has the properties of periodically cor- related random process. The statistical characteristics of this process are calculated on an equidistant grating, the period of which is equal to that of process correlation. A stochastic criterion is proposed to estimate the correlation period. The ergodicity property of the process on an equidistant grating has been theoretically proved and experimentally confirmed.
Keywords:coherent Doppler radars spectral function informational processes  statistical characteris-tics  correlated random process
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