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A lora signal source identification method

A signal source and signal technology, which is applied in the field of LoRa signal source identification system, can solve the problem of source identification of different devices that cannot use LoRa signals, and achieve the effect of ensuring recognition accuracy, small amount of calculation, and high-efficiency recognition

Active Publication Date: 2021-04-13
NORTHWEST UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] In view of the deficiencies in the prior art, the purpose of the present invention is to provide a system for LoRa signal source identification to solve the problem that the prior art cannot identify different equipment sources of LoRa signals

Method used

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  • A lora signal source identification method
  • A lora signal source identification method
  • A lora signal source identification method

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Embodiment 1

[0041] This embodiment provides a feature set and classifier selection method for LoRa signal source identification. It is known that the LoRa signal source sends out the LoRa signal sequence, and the receiving end receives the training signal sequence S' A , including the following steps:

[0042] Step 1, the training signal sequence S' received by the receiving end A and the simulated signal sequence S 1 Perform a cross-correlation operation to obtain a training correlation sequence; extract multiple positions with high correlation values ​​in the training correlation sequence, and use the extracted positions as multiple training starting positions, that is, obtain the training starting position vector POS′ A =[pos' 1 A , pos' 2 A ,...,pos′ k A ], where k is the number of training starting positions, and k is a natural number greater than or equal to 1; the signal sequence S obtained by simulation 1 It has the same bandwidth and spreading factor as the LoRa signal so...

Embodiment 2

[0054] This embodiment provides a LoRa signal source identification method, which is used to identify the signal sequence S received by the receiving end among multiple LoRa signal sources. A The corresponding LoRa signal source;

[0055] In this embodiment, the existing commercial LoRa node is used as the transmitting end, and the USRP is used as the receiving end for signal collection and analysis;

[0056] Include the following steps:

[0057] Step 1, the signal sequence S received by the receiving end A And the signal sequence S simulated according to the signal characteristics of the LoRa signal source 1 Perform a cross-correlation operation to obtain a correlation sequence; extract multiple positions with high correlation values ​​in the correlation sequence, and use the extracted positions as multiple starting positions to obtain a starting position vector Where k is the number of starting positions, and k is a natural number greater than or equal to 1;

[0058] Th...

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Abstract

The invention provides a LoRa signal source identification method, comprising the following steps: Step 1, the signal sequence S received by the receiving end A and the simulated signal sequence S 1 Perform cross-correlation calculations to obtain correlation sequences; extract multiple positions with high correlation values ​​in the correlation sequence, and use the extracted positions as the starting positions of the LoRa signal data packets to obtain multiple LoRa signal data packets; step 2, from the LoRa Multiple signal features for identifying signal sources are extracted from the signal data packet, and multiple signal features for identifying signal sources are combined into multiple LoRa signal feature sets; step 3, extract the basis of multiple LoRa signal feature sets The obtained LoRa signal feature set for LoRa signal source identification is input into the obtained classifier according to the obtained LoRa signal feature set to obtain the signal sequence S A corresponding signal source. The present invention realizes high-precision and high-robust LoRa signal source identification by extracting multiple signal features of the preamble part of the LoRa signal and combining with a machine learning classifier.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, and in particular relates to a system for identifying a LoRa signal source. Background technique [0002] With the application and deployment of IoT technology in smart cities, smart medical and other fields, early wireless communication technologies such as ZigBee and WiFi cannot meet the needs of long-distance IoT monitoring applications, and low-power long-distance network LPWAN has emerged as the times require. Among them, the LPWAN communication technology represented by LoRa (Long Range) technology has not only become the darling of the industry, but also a hot spot and focus of academic research because of the ease of access to unlicensed frequency bands and the maturity of the protocol. At present, the application research of using LoRa technology for monitoring, positioning and tracking has been gradually carried out. With the increase of LoRa application deployment, the n...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/62G06N20/00G08C17/02
CPCG06N20/00G08C17/02G06F18/24G06F18/214
Inventor 房鼎益何航徐丹陈晓江陈峰刘宝英
Owner NORTHWEST UNIV
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