LoRa concurrent transmission demodulation method based on multi-dimensional features

A technology of multi-dimensional feature and demodulation method, applied in the field of communication, can solve the problems of packet loss, network performance, degradation, single feature, etc., and achieve the effects of reducing energy consumption, saving energy consumption, and improving network throughput.

Pending Publication Date: 2022-04-01
SOUTHEAST UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

These methods have made some progress in LoRa concurrent demodulation, but at the same time have their own limitations due to the single feature
[0015] Since LoRa is designed to support these applications over a long range (e.g. more than 10 km), a large number of LoRa devices inevitably exist at the same time, which will cause serious packet loss problems and network performance degradation

Method used

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  • LoRa concurrent transmission demodulation method based on multi-dimensional features
  • LoRa concurrent transmission demodulation method based on multi-dimensional features
  • LoRa concurrent transmission demodulation method based on multi-dimensional features

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0088] It is used in the scene of burst transmission of a large number of LoRa nodes;

[0089] For example, crop environment monitoring in high-density planting scenarios, vehicle monitoring in busy traffic hours, and parking space management in large parking lots will generate a large number of signal conflicts. This solution can effectively demodulate these signal conflicts.

Embodiment 2

[0091] Used for low-cost transformation and upgrading of existing LoRa node networks;

[0092] For example: in the scenario where the scale of LoRa nodes is gradually expanding, the signal conflicts caused by concurrent transmission will limit the performance of the LoRa node network. Without changing the hardware and firmware, this solution can be used at the physical layer of the LoRa base station to improve network performance at low cost.

Embodiment 3

[0094] Used to improve the throughput of LoRa nodes

[0095] For example: the response speed of some applications is related to the throughput rate of LoRa nodes, such as real-time visualization of vehicle position, crop environment information and other data. By using this solution, the throughput rate of LoRa nodes can be improved, thereby speeding up the response speed of such applications.

[0096] The technical means disclosed in the solutions of the present invention are not limited to the technical means disclosed in the above embodiments, but also include technical solutions composed of any combination of the above technical features.

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Abstract

The invention provides a LoRa concurrent transmission demodulation method based on multi-dimensional features, which comprises the following steps of: demodulating concurrently transmitted LoRa signals in a physical layer by using frequency features and energy features of the LoRa signals at the same time, and directly deploying the LoRa signals at a LoRa receiving end without modifying equipment hardware; according to the method, the system and the device, the symbol is separated from conflicting LoRa transmission by calculating energy pyramids of frequencies corresponding to different symbols, so that the purpose of concurrent demodulation is achieved, a receiving end can recover data from a collided data packet, the data packet does not need to be retransmitted, and energy consumption is saved.

Description

technical field [0001] The invention belongs to the technical field of communication technology, and in particular relates to a LoRa physical layer concurrent transmission method. Background technique [0002] Principle of LoRa modulation and demodulation: Low Power Wide Area Network (LPWAN) technology has promoted a wide range of applications in life due to its low power consumption and long-distance communication, including LoRa, NB-IoT, Sigfox and Weightless, etc., which are emerging in recent years. popular technology. There are also many applications based on this technology, such as sailboat monitoring systems, health and well-being monitoring, agricultural monitoring. The basic signal of LoRa is called chirp, which can be divided into upchirp, downchirp and symbol according to its function and shape in the time-frequency diagram. The time-frequency diagrams of the three chirps are as follows figure 1 shown. It can be seen that the frequency of upchirp increases wi...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L27/26
CPCY02D30/70
Inventor 王帅胡斌梅洛瑜张杰锋
Owner SOUTHEAST UNIV
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