非自治可解混沌的分析距离-多普勒模糊

IF 5.3 1区 数学 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Chandra S. Pappu , Aubrey N. Beal , Jonathan N. Blakely , Ned J. Corron
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引用次数: 0

摘要

给出了一类一阶非自治混沌振子的相关性质和模糊曲面的闭型解析解。与大多数混沌系统不同,该振荡器的解采用由相位编码符号序列加权的固定基函数的线性叠加形式。这些解决方案能够以一种在考虑混沌系统时很少可用的方式对系统的重要接收器度量进行分析研究。这些新的低阶系统在基函数中表现出较少的结构,并且在- 20dB至- 30dB以下具有显著的主瓣峰值和副瓣电平,具有良好的相关特性。此外,平均模糊函数结果显示具有低方差,单一,局部峰值的“图钉”轮廓。因此,我们的工作验证了这些波形在距离多普勒平面上解析多点目标的能力。这些理想的特性表明,非自治可解混沌在支持新型雷达、声纳和遥感技术方面具有巨大的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analytic range-Doppler ambiguities for nonautonomous solvable chaos
We present the correlation properties and ambiguity surfaces for a first-order, nonautonomous, chaotic oscillator with a closed-form analytic solution. Unlike most chaotic systems, the solutions of this oscillator take the form of a linear superposition of fixed basis functions weighted by a phase-coded symbol sequence. These solutions enable the analytic investigation of important receiver metrics of systems in a manner that is seldom available when considering chaotic systems. These new, low-order systems exhibit less structure in their basis functions and produce favorable correlation properties with significant mainlobe peak and sidelobe levels below 20dB to 30dB. Further, averaged ambiguity function results show a ‘thumbtack’ profile with a low-variance, single, localized peak. Consequently, our work validates the ability of these waveforms to resolve multiple-point targets on range-Doppler planes. These desirable characteristics indicate that nonautonomous solvable chaos has significant potential in supporting novel radar, sonar, and remote sensing technologies.
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来源期刊
Chaos Solitons & Fractals
Chaos Solitons & Fractals 物理-数学跨学科应用
CiteScore
13.20
自引率
10.30%
发文量
1087
审稿时长
9 months
期刊介绍: Chaos, Solitons & Fractals strives to establish itself as a premier journal in the interdisciplinary realm of Nonlinear Science, Non-equilibrium, and Complex Phenomena. It welcomes submissions covering a broad spectrum of topics within this field, including dynamics, non-equilibrium processes in physics, chemistry, and geophysics, complex matter and networks, mathematical models, computational biology, applications to quantum and mesoscopic phenomena, fluctuations and random processes, self-organization, and social phenomena.
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