Yao Siqi
1.Key Laboratory of Electromagnetic Radiation and Sensing Technology,Chinese Academy of Sciences,Beijing 100190,China; 2.Institute of Electronics,Chinese Academy of Sciences,Beijing 100190,China; 3.University of Chinese Academy of Sciences,Beijing 100049,ChinaWu Shiyou
1.Key Laboratory of Electromagnetic Radiation and Sensing Technology,Chinese Academy of Sciences,Beijing 100190,China; 2.Institute of Electronics,Chinese Academy of Sciences,Beijing 100190,ChinaZhang Jingwei
1.Key Laboratory of Electromagnetic Radiation and Sensing Technology,Chinese Academy of Sciences,Beijing 100190,China; 2.Institute of Electronics,Chinese Academy of Sciences,Beijing 100190,China; 3.University of Chinese Academy of Sciences,Beijing 100049,ChinaYe Shengbo
1.Key Laboratory of Electromagnetic Radiation and Sensing Technology,Chinese Academy of Sciences,Beijing 100190,China; 2.Institute of Electronics,Chinese Academy of Sciences,Beijing 100190,ChinaFang Guangyou
1.Key Laboratory of Electromagnetic Radiation and Sensing Technology,Chinese Academy of Sciences,Beijing 100190,China; 2.Institute of Electronics,Chinese Academy of Sciences,Beijing 100190,China1.Key Laboratory of Electromagnetic Radiation and Sensing Technology,Chinese Academy of Sciences,Beijing 100190,China; 2.Institute of Electronics,Chinese Academy of Sciences,Beijing 100190,China; 3.University of Chinese Academy of Sciences,Beijing 100049,China
TN95
Obstacle detection technology based on ultrawideband life detection radar has broad application prospects in the field of noninvasive detection such as disaster relief and antiterrorism operations. At present, most of the researches at home and abroad are using single point of view radar to detect the target, and it is difficult to detect the position of the body in the condition of low SNR. In view of the limitation of the above methods, this paper uses the multiple observation points to put the radar, and the echo signal is detected by correlation, and the spatial position of the body is obtained. The simulation results show the superiority of the proposed method in low SNR conditions. The experimental results show that the proposed method is feasible and can detect the location of life.
