公开(公告)号：US11659421B2

公开(公告)日：2023-05-23

申请号：US17117601

申请日：2020-12-10

Applicant: XI'AN DAHENG TIANCHENG IT CO., LTD.

Inventor： Hongguang Ma ,  Jinku Guo ,  Qinbo Jiang ,  Zhiqiang Liu

IPC: H04W24/08

CPC classification number: H04W24/08

Abstract: A method of processing spectrum monitoring (SM) big data based on tensor decomposition comprises the steps of: S1: processing calibration of geolocation V, synchronized clock t, synchronized time tn(0 . . . N); of SM stations and determining SM sampling point M and bandwidth B; S2: processing discretization for a monitoring time and structured processing of SM data for a monitoring period to obtain a one-dimensional SM sequence Itn at the given sampling time and a two-dimensional SM matrix W at the given monitoring period; S3: constructing a cuboid matrix Q based on the two-dimensional SM matrix W, processing tensor decomposition for the cuboid matrix Q and identify the emitter.

公开(公告)号：US11419088B2

公开(公告)日：2022-08-16

申请号：US16979036

申请日：2019-02-21

Applicant: XI'AN DAHENG TIANCHENG IT CO., LTD.

Inventor： Hong You ,  Hongguang Ma

IPC: H04W16/14 ,  H04W64/00 ,  G01S3/14 ,  G01S5/02 ,  G01S5/06

Abstract: An emitter positioning method based on spectrum monitoring big data processing comprises the following steps: station monitoring data obtaining, multi-station spectrum monitoring data-based emitter direction finding, multi-station spectrum monitoring data-based emitter cross positioning, and emitter continuous positioning.

公开(公告)号：US20210392523A1

公开(公告)日：2021-12-16

申请号：US17117601

申请日：2020-12-10

Applicant: XI'AN DAHENG TIANCHENG IT CO., LTD.

Inventor： Hongguang MA ,  Jinku GUO ,  Qinbo JIANG ,  Zhiqiang LIU

IPC: H04W24/08

Abstract: A method of processing spectrum monitoring (SM) big data based on tensor decomposition comprises the steps of: S1: processing calibration of geolocation V, synchronized clock t, synchronized time tn(0 . . . N); of SM stations and determining SM sampling point M and bandwidth B; S2: processing discretization for a monitoring time and structured processing of SM data for a monitoring period to obtain a one-dimensional SM sequence Itn at the given sampling time and a two-dimensional SM matrix W at the given monitoring period; S3: constructing a cuboid matrix Q based on the two-dimensional SM matrix W, processing tensor decomposition for the cuboid matrix Q and identify the emitter.