In this paper, an algorithm for extracting and localizing a radar pulse in a noisy environment is described. The algorithm combines two powerful tools: wavelet denoising and the short-time Fourier transform (STFT) analysis with statistical-based threshold. We aim to detect radar pulses transmitted by any radar in blind mode regardless of the intra-pulse modulation and parametric features. The use of the proposed technique makes the detection and localization of radar pulses possible under very low signal-to-noise ratio conditions (−18 dB), which leads to a reduction of the required signal power or alternatively extends the detection range of radar systems. Radar classes pattern-based analysis is used in blind mode to decrease the probability of false alarm.

中文翻译：

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基于功率的脉冲雷达检测使用小波去噪和频谱阈值与模式分析

本文介绍了一种在噪声环境中提取和定位雷达脉冲的算法。该算法结合了两个强大的工具：小波去噪和具有基于统计的阈值的短时傅里叶变换 (STFT) 分析。我们的目标是检测任何雷达在盲模式下发射的雷达脉冲，而不管脉冲内调制和参数特征如何。使用所提出的技术可以在非常低的信噪比条件（-18 dB）下检测和定位雷达脉冲，从而降低所需的信号功率或扩展雷达系统的检测范围. 在盲模式下使用基于雷达类模式的分析来降低误报的概率。