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Beidou satellite navigation interference source identification method based on BP neural network

A BP neural network and identification method technology, applied in the field of Beidou satellite navigation interference source identification, can solve the problems of poor classification performance and high complexity, achieve effective identification and classification, reduce the complexity and the number of parameters, and have strong environmental adaptability. Effect

Inactive Publication Date: 2020-08-21
南京敏智达科技有限公司
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Problems solved by technology

[0007] The present invention can be used to solve the deficiencies in the prior art, and provides a Beidou satellite navigation interference source identification method based on BP neural network, which solves the problems of high complexity and poor classification performance in the existing methods, through the neural network structure Reasonable design to achieve a better level of signal recognition and classification

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  • Beidou satellite navigation interference source identification method based on BP neural network
  • Beidou satellite navigation interference source identification method based on BP neural network
  • Beidou satellite navigation interference source identification method based on BP neural network

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Embodiment Construction

[0056] Embodiments of the present invention will be described below in conjunction with the accompanying drawings.

[0057] Aiming at the negative impact of suppressive interference on the performance of satellite navigation and positioning systems, the present invention designs a Beidou satellite navigation interference source identification method based on BP neural network, which aims to fully learn the signal time-frequency characteristics of typical suppressive interference, and The feature is used as the input of the neural network, and through the training of the neural network, the final output signal recognition and classification results can effectively resist the impact of suppressive interference on the system.

[0058] The present invention is based on the recognition method of the Beidou satellite navigation interference signal of BP neural network, comprises the following steps:

[0059] Step 1: Construct a typical satellite navigation interference signal model;...

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Abstract

The invention discloses a Beidou satellite navigation interference source identification method based on a BP neural network. The method comprises the following steps of: constructing a typical satellite navigation interference signal model; constructing a BP neural network model, and training the constructed typical satellite navigation interference signal model; and adopting the trained BP neural network model to identify the interference signal. The invention provides the satellite navigation interference signal identification method based on a BP neural network, and aims to fully mine timedomain and frequency domain characteristics of interference signals and effectively classify and identify various interference signals.

Description

technical field [0001] The invention relates to a Beidou satellite navigation interference source identification method based on a BP neural network, which belongs to the technical field of signal identification. Background technique [0002] Because the navigation satellite is located in the outer space outside the earth, 20000-30000km above the surface, the distance from the ground receiver is relatively far, and due to the limitation of the navigation satellite's capability, the power of the satellite to transmit the signal is low. Other signals can very easily affect the signal received by the surface part. The interference signal of satellite system can be divided into intentional interference and unintentional interference. Unintentional interference mainly includes natural phenomenon interference and equipment interference. Among them, common natural interference sources include atmospheric interference from sky and electricity, and equipment interference includes eq...

Claims

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Application Information

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IPC IPC(8): G01S19/21
CPCG01S19/21
Inventor 陈志敏陈鹏
Owner 南京敏智达科技有限公司
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