公开(公告)号：US10061012B2

公开(公告)日：2018-08-28

申请号：US14701977

申请日：2015-05-01

Applicant: Worcester Polytechnic Institute

Inventor： Antti E. Koski ,  David Cyganski ,  R. James Duckworth

IPC: G01S5/06 ,  G01S5/02 ,  G01S5/22 ,  G01S1/02

CPC classification number: G01S5/0278 ,  G01S1/02 ,  G01S5/0252 ,  G01S5/06 ,  G01S5/22

Abstract: A ranging and tracking system and method employs a Coherent Array Reconciliation Tomography (CART) approach that benefits from a series of samples gathered from deployed receivers in an area of interest, and applies a sequence of matrix operations and transformations to data defining locations in a Cartesian grid space for summing constructive characteristics in a received waveform for identifying a leading edge indicative of a time of arrival (TOA) from a signal source, and computing a metric based on the distance to the signal source. Sampled waveform information (data) from multiple locations in the area of interest allows computation of a likelihood metric for each location in the grid space of containing the signal source. Rendering of the grid space location having the highest likelihood metric illustrates a position of the signal source, and may be graphically depicted clustering of the locations depicting a high likelihood.

公开(公告)号：US20170038455A1

公开(公告)日：2017-02-09

申请号：US14701977

申请日：2015-05-01

Applicant: Worcester Polytechnic Institute

Inventor： Antti E. Koski ,  David Cyganski ,  R. James Duckworth

IPC: G01S5/02 ,  G01S5/06

CPC classification number: G01S5/0278 ,  G01S1/02 ,  G01S5/0252 ,  G01S5/06 ,  G01S5/22

Abstract: A ranging and tracking system and method employs a Coherent Array Reconciliation Tomography (CART) approach that benefits from a series of samples gathered from deployed receivers in an area of interest, and applies a sequence of matrix operations and transformations to data defining locations in a Cartesian grid space for summing constructive characteristics in a received waveform for identifying a leading edge indicative of a time of arrival (TOA) from a signal source, and computing a metric based on the distance to the signal source. Sampled waveform information (data) from multiple locations in the area of interest allows computation of a likelihood metric for each location in the grid space of containing the signal source. Rendering of the grid space location having the highest likelihood metric illustrates a position of the signal source, and may be graphically depicted clustering of the locations depicting a high likelihood.

Abstract translation: 测距和跟踪系统和方法采用相干阵列对称层析成像（CART）方法，该方法受益于从感兴趣区域中部署的接收器收集的一系列样本，并将矩阵运算和变换序列应用于定义笛卡尔坐标 网格空间，用于对接收到的波形进行求和，以便从信号源识别表示到达时间（TOA）的前沿，以及基于到信号源的距离来计算度量。 来自感兴趣区域中的多个位置的采样波形信息（数据）允许计算包含信号源的网格空间中的每个位置的似然度量。 具有最高似然度量的网格空间位置的渲染示出了信号源的位置，并且可以图形地描绘描绘高可能性的位置的聚类。