A method and system for burst frame detection and timing synchronization based on wi-sun system

Abstract

A method and system for burst frame detection and timing synchronization based on the Wi-SUN system, the method adds peak combining and peak-to-average ratio calculations in cross-correlation burst frame detection, and reduces the signal-to-noise ratio of burst frame detection threshold. The present invention uses the repetition and inversion characteristics of the short preamble to construct a specific local correlation sequence, and converts the conventional timing correction method of multi-peak maximum evaluation into single-peak timing estimation, so that the system can avoid multiple The problem of main and auxiliary peak position exchange caused by peak noise interference improves the reliability of timing calibration and provides broader working conditions for the subsequent precise timing and frequency offset adjustment of long pilot sequences.

Description

Technical field [0001] The present invention relates to the field of wireless communication, and more particularly to a method and system of a burst frame detection and timing synchronization based on a Wi-Sun system. Background technique [0002] At present, the Wi-Sun communication protocol is a standard OFDM system using IEEE802.15.4g protocol, and signals for sudden frame detection and synchronous calibration are divided into short forward guides (STF) and long preaching (LTF) parts. Most systems use short-front. The sudden frame detection and preliminary synchronization adjustment, long before, is used for frequency offset correction and accuracy. With the expansion of the protocol system, more and more low signal-to-noise comparison work environments occur, without modifying the synchronous signal protocol, how to reduce the system's demodulation threshold, become a development direction of research and implementation. [0003] Conventional sudden frame detection has the fo...

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Problems solved by technology

[0007] 4. High-order cumulant signal detection method: This method uses a multi-point sliding correlation method, and its effect performance is better than that of method 2, but the performance improvement is limited

The test shows that when the signal-to-noise ratio is less than -3dB, using the local sequence direct cross-correlation method, the main peak position judgment can no longer meet the accuracy rate > 99%

[0012] If you want to improve the accuracy of detection, you must increase the length of the relevant data, expand the calculation time and storage space for calculation, and if you completely use the last symbol as the relevant data, and adjust the timing after measuring the timing deviation, it will affect the length of the long preamble. data collection

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