首页|频移Chirp信号短包的自适应分数傅里叶变换检测方法

频移Chirp信号短包的自适应分数傅里叶变换检测方法

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为解决传统分数傅里叶变换(FrFT)在检测频移Chirp信号时脉冲分散问题,该文提出一种自适应FrFT的检测方法.该方法基于短包的结构模型以及Neyman-Pearson检测模型,引出了借助评价函数和判定阈值对信号帧检测的虚警概率和漏检概率的分析方法.结合传统FrFT对完整Chirp信号的脉冲特性,给出了对分数傅里叶积分算子的修正方案,推导出自适应FrFT对频移Chirp码元的峰值分布函数.针对自适应FrFT检测过程存在搜索时移问题,分析了该情况下频移Chirp码元峰值大小及分布情况,证明了相比于传统FrFT,自适应FrFT检测捕获无前导短数据包的性能更加优越.
Adaptive Fractional Fourier Transform Detection Method for Short Packets of Frequency-shifted Chirp Signal
To address the pulse dispersion issue in detecting frequency-shifted chirp signals with traditional Fractional Fourier Transform(FrFT),an adaptive FrFT detection method is proposed in this paper.Leveraging the structural model of short packets and the Neyman-Pearson detection model,an analytical method is derived to evaluate the false alarm probability and missed detection probability of signal frame detection using an evaluation function and a decision threshold.Incorporating the pulse characteristics of traditional FrFT for complete chirp signals,a correction scheme for the fractional Fourier integral operator is proposed,and the peak distribution function of the frequency-shifted chirp symbol is derived for the adaptive FrFT.Addressing the search time shift issue in the adaptive FrFT detection process,the peak size and distribution of the frequency-shifted chirp symbol are analyzed,and the superiority of the adaptive FrFT detection compared to traditional FrFT is demonstrated.

Short packetFrequency-shifted chirp signalAdaptive Fractional Fourier Transform(FrFT)Frame detection performance

修梦雷、窦高奇、冯士民

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海军工程大学电子工程学院 武汉 430033

短包 频移Chirp信号 自适应分数傅里叶变换 帧检测性能

2024

电子与信息学报
中国科学院电子学研究所 国家自然科学基金委员会信息科学部

电子与信息学报

CSTPCD北大核心
影响因子:1.302
ISSN:1009-5896
年,卷(期):2024.46(12)