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杂乱背景中隐藏信号的三重相关检测技术 被引量:2

Triple correlation detection of hidden signal from scrambled background
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摘要 针对噪声中检测微弱信号难的问题,提出了一种实用的三重相关检测方法。该方法利用有信号和无信号噪声背景下,三重自相关集平均值的差异,排除噪声干扰,判断出信号的存在;采用似三维图形法计算峰值,实现杂乱背景中隐藏信号的检测,获得信号的确定位置。实验表明,采用三重相关峰值检测方法,在峰值信噪比为0.8702313、功率信噪比为-0.9257607dB时,可获得的信噪比改善约为23dB。在背景为随机噪声的二维图像序列中,也能判断和检测出微弱的点目标,为防伪机器识别提供了一种可供选择的方法。 A method based on triple correlation is proposed against the detection problem of weak signal from noises. By analyzing the difference of triple self-correlation average values with or without noises, one can eliminate noises and estimate the signals. Pseudo-3D graphics of triple correlation is adopted for the detection of hidden signals from scrambled background, and the orientation information of hidden signals can be effectively obtained. Investigations show that using triple correlation peak detection method, the signal-to-noise ratio (SNR) improvement of approximate 23dB can be achieved when the peak signal-to-noise ratio is 0.8702313dB and the power signal-to-noise ratio is -0.9257607dB. Point object in sequence images can also be detected from random noises. These approaches provide available schemes for anti-counterfeiting machine readable systems.
出处 《光电工程》 EI CAS CSCD 北大核心 2005年第9期5-7,11,共4页 Opto-Electronic Engineering
基金 国家自然科学基金(60272099) 湖北省科技攻关重点项目(2003AA101B03)
关键词 信号隐藏 防伪技术 三重相关 信号处理 Signal hiding Anti-counterfeiting technology Triple correlation Signal processing
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