FDA-based maneuvering target detection with Doppler-spread consideration

IF 3 3区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC Digital Signal Processing Pub Date : 2025-04-01 Epub Date: 2025-01-10 DOI:10.1016/j.dsp.2025.104990
Mingjie Jia , Bang Huang , Abdul Basit , Wen-Qin Wang
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Abstract

Different from conventional phased array (PA) and multiple-input-multiple-output (MIMO) radars, frequency diverse array (FDA) experiences the additional Doppler-spread and Doppler walk phenomena caused by the coupling among frequency increment, velocity, and acceleration. In this paper, we thoroughly investigate the coherent integration issue for detecting an FDA-based maneuvering target, consisting of range migration, Doppler-spread and Doppler walk phenomena. To address these challenges, the paper presents a novel algorithm. Specifically, we first introduce a new pulse sampling interval into the FDA-based signals to propose the resampling-keystone transform (RKT) stage, which effectively correct range migration and Doppler-spread. After the inter-channel compensation and integration of the resampled signals, the Lv's distribution (LVD) stage is applied to achieve the intra-channel coherent integration of target energy. The proposed algorithm is applicable for both single-target and multi-target scenarios. Finally, several simulation results demonstrate the potential of the proposed algorithm for improved detection performance for FDA radar. Additionally, the results indicate the underlying limitations of frequency increment and acceleration, which is caused by the coupling among frequency increment, acceleration, and quadratic slow time.
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考虑多普勒扩散的机动目标检测
与传统的相控阵(PA)和多输入多输出(MIMO)雷达不同,分频阵(FDA)雷达由于频率增量、速度和加速度之间的耦合而产生额外的多普勒扩频和多普勒行走现象。本文深入研究了基于fda机动目标检测的相干积分问题,包括距离迁移、多普勒扩散和多普勒行走现象。为了解决这些问题,本文提出了一种新的算法。具体而言,我们首先在基于fda的信号中引入新的脉冲采样间隔,提出了重采样-梯形变换(RKT)阶段,有效地纠正了距离偏移和多普勒扩散。在对重采样信号进行信道间补偿和积分后,利用Lv分布级实现目标能量的信道内相干积分。该算法适用于单目标和多目标场景。最后,几个仿真结果证明了该算法在提高FDA雷达检测性能方面的潜力。此外,频率增量、加速度和二次慢时间的耦合导致频率增量和加速度存在潜在的局限性。
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来源期刊
Digital Signal Processing
Digital Signal Processing 工程技术-工程:电子与电气
CiteScore
5.30
自引率
17.20%
发文量
435
审稿时长
66 days
期刊介绍: Digital Signal Processing: A Review Journal is one of the oldest and most established journals in the field of signal processing yet it aims to be the most innovative. The Journal invites top quality research articles at the frontiers of research in all aspects of signal processing. Our objective is to provide a platform for the publication of ground-breaking research in signal processing with both academic and industrial appeal. The journal has a special emphasis on statistical signal processing methodology such as Bayesian signal processing, and encourages articles on emerging applications of signal processing such as: • big data• machine learning• internet of things• information security• systems biology and computational biology,• financial time series analysis,• autonomous vehicles,• quantum computing,• neuromorphic engineering,• human-computer interaction and intelligent user interfaces,• environmental signal processing,• geophysical signal processing including seismic signal processing,• chemioinformatics and bioinformatics,• audio, visual and performance arts,• disaster management and prevention,• renewable energy,
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