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The Impact Mechanism of Fractal Noise on PN Code Detection System

机译:分形噪声对PN码检测系统的影响机理

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摘要

Taking the pseudo-random phase modulated CW radar for example, this paper studies the impact mechanism of a class of non-stationary fractal noise on PN code detection system, especially signal mixing and matching filter. The cross correlation function, power spectrum function and average power of pseudo-random signal and fractal noise are deduced, compared with the impact of white noise on the pseudo code detection system. We analyze the impact mechanism of three kinds of sea clutter model, namely fractal Brownian model (FBM), the multifractal (MF) model and the non-stationary random fractal model (e.g., infinitely divisible cascades, IDC), on the pseudo-random code detection system, and demonstrate the reason why the multi-scale filtering method in wavelet domain and the MF methods fail to eliminate the effect of sea clutter. Based on the natural sea clutter data, we simulate and analyze the influence of white noise and fractal noise comparatively on detection system, which indicates that the effect of fractal noise cannot be inhibited effectively by the traditional correlation detection and MF analysis, and finally we put forward possible solutions.
机译:以伪随机相位调制连续波雷达为例,研究了一类非平稳分形噪声对PN码检测系统,尤其是信号混合匹配滤波器的影响机理。与白噪声对伪码检测系统的影响相比,推导了伪随机信号和分形噪声的互相关函数,功率谱函数和平均功率。我们分析了分形布朗模型(FBM),多重分形(MF)模型和非平稳随机分形模型(例如,无限可整级联,IDC)三种海杂波模型对伪随机的影响机制。编码检测系统,并说明了小波域多尺度滤波方法和MF方法未能消除海杂波影响的原因。基于天然海杂波数据,比较地模拟和分析了白噪声和分形噪声对检测系统的影响,表明传统的相关检测和MF分析不能有效抑制分形噪声的影响,最后提出提出可能的解决方案。

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