LoRa concurrent transmission demodulation method based on multi-dimensional features

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...

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

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