基于改进椭圆权重模型的射频层析成像定位方法

摘要

As one of the main methods of device free localization (DFL), the radio tomographic imaging (RTI) method that can locate a target without attaching any devices has wide application prospects. To overcome the shortcoming of the existing ellipse weight model, based on the Fresnel diffraction theory an improved ellipse weight model was proposed to enhance the imaging quality of RTI and demonstrates the feasibility of this model. Meanwhile, a foreground detection algorithm based on the cross model was proposed to reduce the impact of background noises and pseudo-targets, thereby further improving the imaging quality. The indoor and outdoor experimental results verify that the imaging quality and the positioning accuracy of the proposed method are better than the existing RTI methods.%射频层析成像(RTI,radio tomographic imaging)技术作为免携带设备定位(DFL,device-free localization) 的主要方式之一,在被定位目标不携带任何定位装置的情况下仍能实现定位,具有广泛的应用前景.针对现有RTI技术中椭圆权重模型的不足,基于菲涅耳衍射理论提出一种改进的椭圆阴影权重模型来提高RTI成像质量,并论证了这种方法的可行性;同时为了克服背景噪点以及伪目标图像的影响,在此基础上提出基于十字模型的前景提取算法,进一步提高RTI定位性能.室内外实验结果表明,该方法的成像质量和定位精度都要优于现有RTI方法.