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作 者:张鹭莎 王扬 朱嘉林[2] 吴鸣[3] 贾尚帅 韩铁礼 ZHANG Lusha;WANG Yang;ZHU Jialin;WU Ming;JIA Shangshuai;HAN Tieli(School of Automation,Beijing Information Science and Technology University,Beijing 100192,China;National Demonstration Center for Experimental Electronic Information&Control Education,Beijing Information Science and Technology University,Beijing 100192,China;Institute of Acoustics,Chinese Academy of Sciences,Beijing 100190,China;Zhongche Tangshan Locomotive&Rolling Stock Co Ltd,Tangshan 063035,China)
机构地区:[1]北京信息科技大学自动化学院,北京100192 [2]北京信息科技大学电子信息与控制国家级实验教学中心,北京100192 [3]中国科学院声学研究所,北京100190 [4]中车唐山机车车辆有限公司,河北唐山063035
出 处:《传感器与微系统》2020年第7期62-64,68,共4页Transducer and Microsystem Technologies
基 金:国家重点研发计划资助项目(2016YFB1200503)。
摘 要:为了消除高速列车运行过程中对乘客造成的噪声干扰,使用有源降噪控制技术是一个行之有效的方法。有源噪声控制系统对被测目标位置的敏感度高,为了提高系统的降噪效果,需准确获取人头所在位置。为配合高铁卧铺车厢中的有源噪声控制系统,设计了基于红外传感器阵列的人头定位系统,并结合使用卡尔曼滤波算法,实现局部空间内的人头位置的实时跟踪检测。In order to eliminate the noise interference to passengers caused by high-speed operation of trains,usage of active noise reduction control technology is an effective solution.The active noise control system has high sensitivity to the position of the measured target.In order to improve the noise reduction effect of the system,it is necessary to accurately obtain the position of the human head.In order to cooperate with the active noise control system in the high-speed sleeper compartment,a human head positioning system based on infrared sensor array is designed,and the Kalman filtering algorithm is used to realize the real-time tracking detection of the human head position in the local space.
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