利用分数程序设计正交波形,抑制合成孔径雷达系统的模糊性

IF 7.3 2区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS
Yunkai Deng, Yongwei Zhang, Zhimin Zhang, Wei Wang, Heng Zhang
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引用次数: 0

摘要

波形分集(WD)是雷达系统中广泛应用的一种动态和变革性技术,可提高灵敏度和分辨能力。最近,WD 技术因其在合成孔径雷达(SAR)系统中抑制模糊性的潜力而受到广泛关注。其中,结合正交波形的交替发射模式是一种特别有前途的解决方案。本研究的重点是优化信号的功率谱密度 (PSD),设计并生成一对正交波形,既能实现较低的交叉相关与自相关比 (CAR),又能获得令人满意的成像性能。最初,我们构建了一个带有凸约束的分数编程模型,以最小化 CAR。为了应对这一挑战,我们引入了 PSD 变量的迭代优化程序,该程序会依次降低 CAR。每个优化步骤都可以使用二次约束二次方程程序有效求解,从而确保计算复杂度保持在较低水平。在优化 PSD 的基础上,我们建立了一个参数分片线性模型来生成一对正交波形。该模型不仅保持了较低的 CAR 值,而且在实时应用中实现了令人满意的成像性能。因此,这对正交波形有效地抑制了合成孔径雷达系统中的测距模糊。最后,我们通过详细的模拟实验证明了所提出的正交波形的实用性和有效性,特别是针对传统四极化合成孔径雷达系统中的模糊抑制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Orthogonal waveform design with fractional programming on the ambiguity suppression of SAR systems

Waveform diversity (WD) represents a dynamic and transformative technology widely used in radar systems to enhance sensitivity and discrimination capabilities. Recently, WD techniques have been extensively explored for their potential ambiguity suppression within synthetic aperture radar (SAR) systems. Among these, the alternate transmitting mode combined with orthogonal waveforms emerges as a particularly promising solution. This study focuses on optimizing the power spectrum density (PSD) of signals to design and generate an orthogonal waveform pair that achieves both a low cross-correlation-to-autocorrelation ratio (CAR) and satisfactory imaging performance. Initially, we construct a fractional programming model with convex constraints to minimize the CAR. To address this challenge, we introduce an iterative optimization procedure for the PSD variable, which sequentially reduces the CAR. Each optimization step can be efficiently solved using a quadratically constrained quadratic program, ensuring that the resulting computational complexity remains low. Building on the optimized PSD, we established a parametric piecewise linear model to generate an orthogonal waveform pair. This model not only maintains a low CAR but achieves satisfactory imaging performance in real-time applications. Consequently, this orthogonal waveform pair effectively suppresses range ambiguity in SAR systems. Finally, we demonstrated the practicability and effectiveness of the proposed orthogonal waveforms through detailed simulation experiments, specifically targeting ambiguity suppression in conventional quad-polarization SAR systems.

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来源期刊
Science China Information Sciences
Science China Information Sciences COMPUTER SCIENCE, INFORMATION SYSTEMS-
CiteScore
12.60
自引率
5.70%
发文量
224
审稿时长
8.3 months
期刊介绍: Science China Information Sciences is a dedicated journal that showcases high-quality, original research across various domains of information sciences. It encompasses Computer Science & Technologies, Control Science & Engineering, Information & Communication Engineering, Microelectronics & Solid-State Electronics, and Quantum Information, providing a platform for the dissemination of significant contributions in these fields.
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