Modified Ambiguity Function and Wigner Distribution Associated With Quadratic-Phase Fourier Transform

IF 1.2 3区 数学 Q2 MATHEMATICS, APPLIED
Tien Minh Lai
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引用次数: 0

Abstract

The ambiguity function (AF) and Wigner distribution (WD) play an important role not only in non-stationary signal processing but also in radar and sonar systems. In this paper, we introduce modified ambiguity function and Wigner distribution associated with quadratic-phase Fourier transform (QAF, QWD). Moreover, many various useful properties of QAF and QWD are also proposed. Marginal properties and Moyal’s formulas of these distributions have elegance and simplicity comparable to those of the AF and WD. Besides, convolutions via quadratic-phase Fourier transform are also introduced. Furthermore, convolution theorems for QAF and QWD are also derived, which seem similar to those of the classical Fourier transform (FT). In addition, applications of QAF and QWD are established such as the detection of the parameters of single-component and multi-component linear frequency-modulated (LFM) signals.

Abstract Image

与二次相傅里叶变换相关的修正模糊函数和维格纳分布
模糊函数(AF)和维格纳分布(WD)不仅在非稳态信号处理中发挥着重要作用,在雷达和声纳系统中也是如此。本文介绍了与二次相傅里叶变换(QAF、QWD)相关的修正模糊函数和维格纳分布。此外,还提出了 QAF 和 QWD 的许多有用特性。这些分布的边际特性和莫亚尔公式与二次傅里叶变换和三次傅里叶变换的边际特性和莫亚尔公式一样,既优雅又简单。此外,还介绍了通过二次相傅里叶变换进行的卷积。此外,还推导出了 QAF 和 QWD 的卷积定理,这些定理似乎与经典傅里叶变换(FT)的定理相似。此外,还建立了 QAF 和 QWD 的应用,如检测单分量和多分量线性频率调制(LFM)信号的参数。
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来源期刊
CiteScore
2.10
自引率
16.70%
发文量
72
审稿时长
6-12 weeks
期刊介绍: The Journal of Fourier Analysis and Applications will publish results in Fourier analysis, as well as applicable mathematics having a significant Fourier analytic component. Appropriate manuscripts at the highest research level will be accepted for publication. Because of the extensive, intricate, and fundamental relationship between Fourier analysis and so many other subjects, selected and readable surveys will also be published. These surveys will include historical articles, research tutorials, and expositions of specific topics. TheJournal of Fourier Analysis and Applications will provide a perspective and means for centralizing and disseminating new information from the vantage point of Fourier analysis. The breadth of Fourier analysis and diversity of its applicability require that each paper should contain a clear and motivated introduction, which is accessible to all of our readers. Areas of applications include the following: antenna theory * crystallography * fast algorithms * Gabor theory and applications * image processing * number theory * optics * partial differential equations * prediction theory * radar applications * sampling theory * spectral estimation * speech processing * stochastic processes * time-frequency analysis * time series * tomography * turbulence * uncertainty principles * wavelet theory and applications
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