Double-threshold cooperative GNSS interference detection algorithm based on fuzzy logic

A technology of interference detection and fuzzy logic, applied to systems based on fuzzy logic, based on specific mathematical models, logic circuits, etc., can solve the problems of low detection performance and difficult implementation, so as to save spectrum resources, improve detection performance, The effect of computational complexity and false alarm probability

Pending Publication Date: 2020-12-18
CHONGQING UNIV
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Problems solved by technology

Therefore, in order to quickly and accurately detect whether there is interference in the system, it is difficult to implement single-node algorithms such as time-domain detection algorithms, time-frequency domain detection algorithms, and statistical domain detection algorithms, and the detection performance is not high.

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  • Double-threshold cooperative GNSS interference detection algorithm based on fuzzy logic
  • Double-threshold cooperative GNSS interference detection algorithm based on fuzzy logic
  • Double-threshold cooperative GNSS interference detection algorithm based on fuzzy logic

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Embodiment Construction

[0033]The embodiments of the present invention will be described in detail below. Examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals indicate the same or similar elements or elements with the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary, and are intended to explain the present invention, but should not be construed as limiting the present invention.

[0034]In the description of the present invention, "plurality" means two or more, unless otherwise specifically defined.

[0035]SeeFigure 1 to Figure 12 The present invention provides a dual-threshold cooperative GNSS interference detection algorithm based on fuzzy logic, including the following steps:

[0036]S101. The double-threshold energy detection algorithm based on stochastic resonance detects the interference signal and obtains a local judgment result.

[0037]Specifically, the GNSS interference detection...

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Abstract

The invention discloses a double-threshold cooperative GNSS interference detection algorithm based on fuzzy logic, which comprises the following steps: comparing detection statistics obtained by a double-threshold energy detection algorithm based on stochastic resonance with two detection thresholds, and outputting hard decision results outside the two detection thresholds and fuzzy processing results inside the two detection thresholds; obtaining a final judgment result by adopting a two-step cooperative judgment algorithm on a received local judgment result at a fusion center, so the networkoverhead of the system is greatly reduced, spectrum resources are saved, and the detection performance can be improved on the premise of not increasing the calculation complexity and the false alarmprobability.

Description

Technical field[0001]The invention relates to the technical field of GNSS interference detection, in particular to a dual-threshold cooperative GNSS interference detection algorithm based on fuzzy logic.Background technique[0002]In recent years, with the popularization of smart devices and the development of science and technology, the demand for applications based on the Global Navigation Satellite System (GNSS) has been increasing, which has attracted widespread attention. However, as people's needs become more diversified and intelligent, and more and more wireless communication infrastructures, the out-of-band energy it brings will affect GNSS receivers. Common GNSS interference signals are mainly divided into two categories: Suppressive interference and deceptive interference. Research results show that suppressive interference is the type of interference that has the greatest impact on receivers in the current GNSS interference system. Currently, for GNSS suppressive interfere...

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Application Information

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IPC IPC(8): G01S19/21G01S19/01G01S19/42G06N7/00G06N7/02
CPCG01S19/21G01S19/015G01S19/421G06N7/02G06N7/01
Inventor吴玉成翟莎莎余盼龙熊灿云龚庆明黄天聪
OwnerCHONGQING UNIV