基于小波去噪的信号盲检测方法

2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC) Pub Date : 2020-06-01 DOI:10.1109/ITNEC48623.2020.9084728

Yue Guo, Bin Wang

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引用次数: 0

摘要

本文提出了一种基于小波去噪的低信噪比短突发信号盲检测方法，并给出了判定阈值的确定方法。该方法首先对接收到的数据进行小波去噪，然后利用基于短窗口的能量检测器检测信号是否存在。仿真结果表明，对于2FSK、MSK、QPSK和16QAM信号，当信噪比为- 12dB时，检测概率可高于85%，虚警概率基本保持在20%以下。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A Signal Blind Detection Method Based on Wavelet Denoising

In this paper, a blind detection method is proposed based on wavelet denoising for short burst signals under low SNR (Signal-to-Noise Ratio), and a definite method to determine the decision threshold is given. The method first performs wavelet denoising on the received data, and then uses the energy detector based on a short window to detect the existence of the signal. Simulation results show that for 2FSK, MSK, QPSK and 16QAM signals, when SNR is −12dB, the detection probability can be higher than 85% and false alarm probability is basically maintained below 20%.

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来源期刊

2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC)

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