红外与毫米波学报2020，Vol.39Issue(2)：228-234,7.DOI:10.11972/j.issn.1001-9014.2020.02.010
基于热释电红外探测器的人体定位技术
Human localization technology based on the pyroelectric infrared sensors
摘要
Abstract
A field of views of pyroelectric infrared sensors modulation strategy is proposed. The strategy can im-prove the human localization resolution,and it will not reduce the detection distance of pyroelectric infrared sen-sor. For the strategy,the field of views of pyroelectric infrared sensors are modulated by a mask. And the modu-lated field of views overlap and interleave with each other to form some sampling areas. In order to verify the pro-posed field of views modulation strategy,the human localization node which includes nine pyroelectric infrared sensors is fabricated. The modulated degree of the field of views of each pyroelectric infrared sensor is 36°. The degree of each sampling area is 4°. If the human moves in a sampling area,the corresponding pyroelectric infra-red sensors will be triggered. The human position can be localized by using at least two nodes. According to the states of the pyroelectric infrared sensors,the human position can be estimated. In the experiment,two nodes are set in a 600 cm × 600 cm square area,the theoretical error is analyzed by using least square estimation. The theo-retical maximum error of the two nodes human localization equipment in a 600 cm×600 cm square area is about 70 cm. Eight human positions are estimated in experiments,and the estimation route is formed by connecting all the estimated positions. The estimation route is close to the predefined route. The minimum and maximum estimation errors are about 4. 42 cm and 16. 91 cm respectively.关键词
热释电红外探测器/人体定位/最小二乘法Key words
pyroelectric infrared sensor/human position localization/least square estimation分类
信息技术与安全科学引用本文复制引用
吴勤勤,李希才,王元庆,任舒平..基于热释电红外探测器的人体定位技术[J].红外与毫米波学报,2020,39(2):228-234,7.基金项目
国家重点研发计划(2016YFB0401500),江苏省重点研发计划(BE2016173),南京大学优秀博士研究生创新能力提升计划B Supported by the National Key R&D Plan (2016YFB0401500), R&D Plan of Jiangsu Science and Technology Department (BE2016173),and Program B for Outstanding PhD Candidate of Nanjing University （2016YFB0401500）
