针对无线传感器网络中近似四面体内点三维(APIT—3D)定位算法存在的问题,提出一种基于球切割的APIT(APIT—SC)定位算法。该算法改善在节点分布不均匀时定位精度和定位覆盖率差的问题,用体积规则减少PIT—3D测试中出现Out To In和In To ...针对无线传感器网络中近似四面体内点三维(APIT—3D)定位算法存在的问题,提出一种基于球切割的APIT(APIT—SC)定位算法。该算法改善在节点分布不均匀时定位精度和定位覆盖率差的问题,用体积规则减少PIT—3D测试中出现Out To In和In To Out错误。以球切割法和轮回选择法改善算法性能,降低计算复杂度。仿真实验表明:500个节点随机部署在100 m×100 m×100 m的理想网络环境下,APIT—SC算法定位覆盖率可达91%,定位误差在23%左右。与APIT—3D算法相比,降低了计算复杂度,提高了定位精度。展开更多
The scattering centers(SCs)of low-detectable targets(LDTs)have a low scattering intensity.It is difficult to build the SC model of an LDT using the existing methods because these methods mainly concern dominant SCs wi...The scattering centers(SCs)of low-detectable targets(LDTs)have a low scattering intensity.It is difficult to build the SC model of an LDT using the existing methods because these methods mainly concern dominant SCs with strong scattering contributions.This paper presents an SC modeling approach to acquire the weak SCs of LDTs.We employ the induced currents at the LDT to search SCs,and the joint time-frequency transform together with the Hough transform to separate the scattering contributions of different SCs.Particle swarm optimization(PSO)is applied to improve the estimation results of SCs.The accuracy of the SC model built by this approach is verified by a full-wave numerical method.The validation results show that the SC model of the LDT can precisely simulate the signatures of high-resolution images,such as high-resolution range profile and inverse synthetic aperture radar(ISAR)images.展开更多
文摘针对无线传感器网络中近似四面体内点三维(APIT—3D)定位算法存在的问题,提出一种基于球切割的APIT(APIT—SC)定位算法。该算法改善在节点分布不均匀时定位精度和定位覆盖率差的问题,用体积规则减少PIT—3D测试中出现Out To In和In To Out错误。以球切割法和轮回选择法改善算法性能,降低计算复杂度。仿真实验表明:500个节点随机部署在100 m×100 m×100 m的理想网络环境下,APIT—SC算法定位覆盖率可达91%,定位误差在23%左右。与APIT—3D算法相比,降低了计算复杂度,提高了定位精度。
基金This work was supported by the National Key R&D Program of China(2017YFB0202500)the National Natural Science Foundation of China(61771052).
文摘The scattering centers(SCs)of low-detectable targets(LDTs)have a low scattering intensity.It is difficult to build the SC model of an LDT using the existing methods because these methods mainly concern dominant SCs with strong scattering contributions.This paper presents an SC modeling approach to acquire the weak SCs of LDTs.We employ the induced currents at the LDT to search SCs,and the joint time-frequency transform together with the Hough transform to separate the scattering contributions of different SCs.Particle swarm optimization(PSO)is applied to improve the estimation results of SCs.The accuracy of the SC model built by this approach is verified by a full-wave numerical method.The validation results show that the SC model of the LDT can precisely simulate the signatures of high-resolution images,such as high-resolution range profile and inverse synthetic aperture radar(ISAR)images.
基金Supported by National Natural Science Foundation of China(10571036)the Key Discipline Development Program of Beijing Municipal Commission (XK100080537)
