CAJ | 학술논문

目的：研究生物雷达监护过程中，不同呼吸模式对雷达信号分离提取的影响。方法：在不同呼吸模式下，获取雷达式生命参数监护系统的回波信号，应用改进的信号分离算法，分离出呼吸和心跳信号，并提取对应信号的参数特征。结果：2种呼吸模式下，自适应滤波器输出的信号中心频率与心跳信号频率一致，且其余频点信号得到有效抑制。结论：该算法可以有效地分离出心跳信号，同时有效抑制其他干扰信号。
목적：연구생물뢰체감호과정중，불동호흡모식대뢰체신호분리제취적영향。방법：재불동호흡모식하，획취뢰체식생명삼수감호계통적회파신호，응용개진적신호분리산법，분리출호흡화심도신호，병제취대응신호적삼수특정。결과：2충호흡모식하，자괄응려파기수출적신호중심빈솔여심도신호빈솔일치，차기여빈점신호득도유효억제。결론：해산법가이유효지분리출심도신호，동시유효억제기타간우신호。
To separate the biological radar echo signals in different breathing modes. Echo signals of bioradar-based vital signs monitoring system were acquired in different breathing modes, and an improved signal separa-tion algorithm was used to obtain respiratory and heartbeat signals as well as their parameters. Under two breath-ing modes, the center frequencies of the signals from the self-adaptive filter were kept consistent with those of heartbeat signals, and the signals with other frequencies were suppressed effectively. The algorithm can be used to sep-arate heartbeat signals while suppress other interference signals effectively. ZHANG Jing and LIU Qian are the first au-thors who contributed equally to the article.