A Human Target Detection Method under Complex Conditions by Distributed Through-Wall Radar System

SHI Cheng; YE Shengbo; PAN Jun; NI Zhikang; ZHENG Zhijie; FANG Guangyou

doi:10.11999/JEIT211203

Volume 44 Issue 4

Apr. 2022

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Article Navigation > Journal of Electronics & Information Technology > 2022 > 44(4): 1193-1202

SHI Cheng, YE Shengbo, PAN Jun, NI Zhikang, ZHENG Zhijie, FANG Guangyou. A Human Target Detection Method under Complex Conditions by Distributed Through-Wall Radar System[J]. Journal of Electronics & Information Technology, 2022, 44(4): 1193-1202. doi: 10.11999/JEIT211203

Citation:

SHI Cheng, YE Shengbo, PAN Jun, NI Zhikang, ZHENG Zhijie, FANG Guangyou. A Human Target Detection Method under Complex Conditions by Distributed Through-Wall Radar System[J]. Journal of Electronics & Information Technology, 2022, 44(4): 1193-1202. doi: 10.11999/JEIT211203

Citation:

SHI Cheng, YE Shengbo, PAN Jun, NI Zhikang, ZHENG Zhijie, FANG Guangyou. A Human Target Detection Method under Complex Conditions by Distributed Through-Wall Radar System[J]. Journal of Electronics & Information Technology, 2022, 44(4): 1193-1202. doi: 10.11999/JEIT211203

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A Human Target Detection Method under Complex Conditions by Distributed Through-Wall Radar System

doi: 10.11999/JEIT211203

SHI Cheng^{1, 2, 3},
YE Shengbo^{1, 2},
PAN Jun^{1, 2, 3},
NI Zhikang^{1, 2, 3},
ZHENG Zhijie^{1, 2, 3},
FANG Guangyou^{1, 2, 3
,
,}

1.
Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
2.
Key Laboratory of Electromagnetic Radiation and Sensing Technology, Chinese Academy of Sciences, Beijing 100094, China
3.
School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China

Funds: The National Key R&D Program of China (2018YFC0810202), The National Natural Science Foundation of China (61827803)

Received Date: 2021-11-01
Accepted Date: 2022-03-10
Rev Recd Date: 2022-03-03

Available Online: 2022-03-11

Publish Date: 2022-04-18

Abstract

Abstract

Ultra-wideband radar is widely used for human rescue under ruins, due to its high range resolution and high penetration capability. However, it is difficult to rely on a single radar to detect trapped persons, under complex conditions. In this paper, a human respiration detection method under low Signal-to-Noise Ratio (SNR) conditions by distributed through-wall radar is proposed. First, two ultra-wideband impulse radars use time-division multiplexing to prevent mutual interference. Secondly, the slow-time dimension cross-correlation processing is performed on the echo data of the two radars to enhance the human respiration signal. Thirdly, the automatic detection algorithm is improved based on constant false alarm ratio to make it suitable for the distributed through-wall radar and realize automatic and fast detection. Finally, the trilateration algorithm is used to locate the trapped persons. A series of experimental results show that the method proposed can realize human detection under low SNR conditions, and its detection performance is better than that of a single radar.
- Through-wall radar,
- Distributed radar,
- Target detection

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References(17)

References

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