[Frame detection under low signal-to-noise ratio] Matlab simulation and analysis of low signal-to-noise ratio frame detection based on pseudo-code matching algorithm

Table of contents

1. Theoretical basis

2. Core program

3. Simulation test results


1. Theoretical basis

       In the wireless communication system, the pseudo-code matching algorithm is generally used to detect the data frame, so the pseudo-code matching technology has important practical significance for the communication system. In digital communication systems, data frame detection is a very important task. The purpose of data frame detection is to analyze the transmission data stream at the receiving end to detect the boundary and position of the data frame, and extract effective information from it. Data frame detection faces even more severe challenges in low signal-to-noise ratio environments, because the signal may be interfered by noise at this time, resulting in misjudgment and missed judgment. In order to solve this problem, we can use a data frame detection algorithm under low signal-to-noise ratio based on pseudo-code matched filtering. This article will introduce the principle, characteristics and application of pseudo-code matched filtering.
       Pseudo-code matched filtering is a digital signal processing technique&#x

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