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Satellite navigation interference signal type intelligent identification method and system

An interference signal and intelligent identification technology, applied in the field of satellite navigation signal processing, can solve the problems of poor real-time performance, high degree of discrimination of interference types, lack of mathematical derivation, etc., and achieve the effect of enhanced noise robustness and improved recognition accuracy

Pending Publication Date: 2020-10-16
SHANGHAI JIAO TONG UNIV
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Problems solved by technology

There are three problems in the traditional interference identification algorithm: First, the performance of the interference identification algorithm often depends on the discrimination of the extracted characteristic parameters.
At present, there are no specific characteristic parameters that can summarize all interference types and have a high degree of discrimination. Only different characteristic parameters can be artificially involved according to specific recognition tasks. Poor adaptability and portability; third, common interference identification algorithms have low accuracy and poor real-time performance, and cannot be compatible with increasingly complex new interference types and realize the combination of software and hardware

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  • Satellite navigation interference signal type intelligent identification method and system
  • Satellite navigation interference signal type intelligent identification method and system
  • Satellite navigation interference signal type intelligent identification method and system

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Embodiment 1

[0071] A kind of satellite navigation interference signal type intelligent identification method provided according to the present invention comprises:

[0072] Step M1: Collecting intermediate frequency digital signals for satellite interference signals, and preprocessing the intermediate frequency digital signals to obtain preprocessed digital intermediate frequency sampling signals;

[0073] Specifically, the step M1 includes:

[0074] Step M1.1: The satellite interference signal is sequentially filtered, amplified and down-converted into a satellite interference intermediate frequency signal through the digital intermediate frequency collector;

[0075] Step M1.2: the analog-to-digital conversion module (ADC) is controlled by the automatic gain control unit (AGC), and converts the satellite interference intermediate frequency signal into a digital intermediate frequency (IF) sampling signal;

[0076] Step M1.3: Since the AGC continuously adjusts the sampling amplitude of ...

Embodiment 2

[0126] Embodiment 2 is a modification of embodiment 1

[0127] Below in conjunction with the accompanying drawings, a kind of satellite navigation interference signal type intelligent identification method based on PWVD transformation and convolutional neural network proposed by the present invention is described in detail:

[0128] The present invention implements a satellite navigation interference signal type intelligent identification method based on PWVD transformation and convolutional neural network. The method takes the time-frequency domain features extracted by the interference signal preprocessing and PWVD transformation algorithm as input vectors, and constructs an Inception module-based Improve the GoogLeNet model to realize automatic identification of interference types. figure 1 It is the technical overall flow chart of the present invention to process satellite navigation interference signal, below in conjunction with figure 1 Each step and its principle are e...

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Abstract

The invention provides a satellite navigation interference signal type intelligent identification method and system, and the method comprises the steps of carrying out the medium-frequency digital signal collection of a satellite interference signal, and carrying out the preprocessing; carrying out shallow feature extraction on the preprocessed digital intermediate frequency sampling signal by using a PWVD transformation algorithm; taking a high-dimensional time-frequency domain feature vector extracted from an unknown interference signal as an input sample; extracting a high-dimensional time-frequency domain feature vector and a corresponding category from the known interference signal to construct a training set; training an improved GoogLeNet convolutional neural network model by usingthe training set; performing deep feature extraction and type judgment on an input sample by using the trained improved GoogLeNet convolutional neural network model to obtain a category to which an unknown type belongs. According to the invention, a traditional identification algorithm in the field of satellite navigation interference identification at present is greatly improved, and reference isfurther provided for realizing real-time interference detection and identification by combining software and hardware.

Description

technical field [0001] The present invention relates to the field of satellite navigation signal processing, in particular, to a method and system for intelligent identification of satellite navigation interference signal types, and more specifically, to an intelligent identification of satellite navigation interference signal types based on PWVD transformation and convolutional neural network methods and systems. Background technique [0002] Global Navigation Satellite System (GNSS) can provide time, position and speed information around the clock, and provide navigation, high-precision positioning and timing services for national infrastructure in real time. However, due to the limitation of space transmission distance, the power of the transmitted signal is very weak when it reaches the ground, even about 20dB lower than the background noise, and the useful navigation signal is completely submerged in the noise. In addition, the actual working environment of the GNSS re...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06N3/04G01S19/21
CPCG01S19/21G06N3/045G06F2218/08
Inventor 陈新燕新宇
Owner SHANGHAI JIAO TONG UNIV
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