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1. 北京邮电大学计算机学院,北京 100876
2. OPPO广东移动通信有限公司,北京 100000
Published:30 June 2020,
Published Online:2020-06,
移动端阅览
NING WANG, KE ZHAO, ANFU ZHOU, et al. Small passive object location tracking based on millimeter-wave sensing. [J]. Chinese journal on internet of things, 2020, 4(2): 105-112.
NING WANG, KE ZHAO, ANFU ZHOU, et al. Small passive object location tracking based on millimeter-wave sensing. [J]. Chinese journal on internet of things, 2020, 4(2): 105-112. DOI: 10.11959/j.issn.2096-3750.2020.00145.
由于毫米波的敏感性极强,物体的微小移动也可以被毫米波所感知,体现为频谱变化,借助此优势提出了一种基于毫米波感知的小型无源物体定位追踪方法,可以实现对目标物体的高精度定位与追踪。与传统的有源物体定位追踪相比,在无源物体定位追踪中,由于目标物体无法主动发射信号且目标物体较小,因此,需要有效的机制区分、分离目标物体的反射信号和背景环境的反射信号,采用多种方法去除背景噪声和突发噪声,实现了良好的定位追踪效果。实验结果表明,所提方法可以追踪一支笔的运动轨迹,其平均误差为0.32 cm。
Since the sensitivity of the millimeter-wave is very strong
the tiny movement of the object can also be sensed by the millimeter-wave as a spectrum change.With this advantage
a small passive object location and tracking method based on the millimeter-wave sensing was provided
which could achieve the high-precision positioning and tracking of target objects.Compared with the traditional active object localization tracking
the target object could not actively transmit signals and the target object was small in the passive object localization tracking.Thus
an effective mechanism was needed to distinguish and separate the reflected signal of the target object and the reflected signal of the background environment.A variety of methods were used to remove the background noise and the burst noise
and a good positioning tracking effect was achieved.The experimental results show that the proposed method can track the movement of a pen with an average error of 0.32 cm.
毫米波感知无源定位小型物体定位追踪背景噪声
millimeter-wave sensingpassive locationsmall object positioning and trackingbackground noise
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