离散小波变换域最佳信号线性检测器
Optimum Signal Linear Detector in the Discrete Wavelet Transform-Domain
摘要:
研究了加性高斯白噪声中已知信号的检测问题。本文提出了一种基于离散小波变换预处理和阈值比较的检测算法。[7]中描述的当前方法使用在小波域中获得的最大值进行决策。在这里,我们使用小波域中的所有可用信息,取得了良好的效果。检测器性能以检测概率曲线的形式表示,适用于固定的虚警概率。
英文摘要:
The problem of known signal detection in Additive White Gaussian Noise is considered. In this paper a new detection algorithm based on Discrete Wavelet Transform pre-processing and threshold comparison is introduced. Current approaches described in [7] use the maximum value obtained in the wavelet domain for decision. Here, we use all available information in the wavelet domain with excellent results. Detector performance is presented in Probability of detection curves for a fixed probability of false alarm.
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