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TDOA/FDOA estimation precision improving method based on singular value decomposition

A singular value decomposition and singular value technology, applied in the field of passive positioning and tracking of communication radiation sources, can solve problems such as not being seen

Active Publication Date: 2021-03-19
NAVAL UNIV OF ENG PLA
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  • Description
  • Claims
  • Application Information

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Problems solved by technology

In terms of research on denoising the obtained FDOA estimates, there is no relevant literature

Method used

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  • TDOA/FDOA estimation precision improving method based on singular value decomposition
  • TDOA/FDOA estimation precision improving method based on singular value decomposition
  • TDOA/FDOA estimation precision improving method based on singular value decomposition

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Embodiment Construction

[0054] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0055] This application first constructs the corresponding global expansion matrix and local expansion matrix by adding second-order information into the original TDOA / FDOA measurement value; then, through mathematical derivation, gives the theorems of the rank properties of these two expansion matrices; finally, proposes A method based on si...

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Abstract

The invention provides a TDOA / FDOA estimation precision improving method based on singular value decomposition, and the method comprises the steps: step 1, constructing a global expansion matrix gammacomposed of a TDOA / FDOA measurement value and a second order of the TDOA / FDOA measurement value, assuming that M targets exist, the positions and speeds of the M targets being xm, and d representingthe dimension; step 2, performing singular value decomposition on the global expansion matrix gamma, and reconstructing the global expansion matrix gamma by using the maximum 2M+2d singular values; and step 3, constructing a local expansion matrix and carrying out singular value decomposition on the local expansion matrix, reconstructing the local expansion matrix by using the maximum 6d+4 singular values of the local expansion matrix, and repeating the process for n times until the change of the TDOA / FDOA measurement values of the previous and later two times is smaller than a preset range, nbeing a natural number. Simulation experiments prove that the method can improve the estimation precision of the TDOA / FDOA measurement value.

Description

technical field [0001] The invention relates to the field of passive positioning and tracking of communication radiation sources, in particular to a method for improving the accuracy of TDOA / FDOA estimation based on singular value decomposition. Background technique [0002] Time Difference of Arrival (TDOA) and Frequency Difference of Arrival (FDOA) measurements are very important parameters in passive positioning, and their estimation accuracy directly determines the positioning accuracy of the target. Therefore, how to obtain high-precision TDOA / FDOA measurement values ​​has always been a hot issue in the field of passive positioning. [0003] To obtain high-precision TDOA / FDOA measurement values, one is to use various methods to ensure the estimation accuracy of TDOA / FDOA during the process of extracting the original data, and the other is to denoise the estimated TDOA / FDOA measurement values deal with. At present, the former has been studied in a large number of liter...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S5/06G06F30/20
CPCG01S5/06G06F30/20G06F2111/10Y02D30/70
Inventor 满欣周成马丛珊
Owner NAVAL UNIV OF ENG PLA
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