Signal Design and Multiple Target Detection in Presence of Clutter in Pulsed FDA Radar

IF 1.5 4区工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC

Iranian Journal of Science and Technology-Transactions of Electrical Engineering Pub Date : 2024-02-02 DOI:10.1007/s40998-023-00693-8

Marziye Golabi, Abbas Sheikhi, Mehrzad Biguesh

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Abstract

The small frequency offset across the array elements in frequency diverse array (FDA) radars leads to the range-angle-time dependent beampattern of FDA radars which is different from the angle-only dependent beampattern of the traditional phased arrays. In this paper, a simple signal model for the received signal in pulsed FDA radars is derived and it is shown that the transmitted signal is amplitude modulated by a digital sinc function which depends on the angle of the scatterer. Then, a signal design framework is presented based on the derived model in which it is represented that how the angular coverage zone and range resolution depend on pulsed FDA radar parameters. After that an iterative low complexity constant false alarm rate (CFAR) Generalized Likelihood Ratio Test (GLRT)-based detector for general FDA radars is derived to detect multiple targets in the presence of clutter and noise. The performance of the proposed detection algorithm is verified by simulation results.

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脉冲 FDA 雷达中的信号设计和杂波存在时的多目标探测

频率多样化阵列（FDA）雷达中各阵元之间的频率偏移较小，这导致 FDA 雷达具有与射程-角度-时间相关的蜂鸣模式，与传统相控阵中仅与角度相关的蜂鸣模式不同。本文推导了脉冲 FDA 雷达接收信号的简单信号模型，并证明发射信号的振幅由数字 sinc 函数调制，该函数取决于散射体的角度。然后，根据推导出的模型提出了一个信号设计框架，其中说明了角度覆盖区和测距分辨率如何取决于脉冲 FDA 雷达参数。然后，为一般 FDA 雷达推导出一种基于广义似然比检验（GLRT）的迭代式低复杂度恒定误报率（CFAR）检测器，用于在杂波和噪声存在的情况下检测多个目标。仿真结果验证了所提检测算法的性能。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Iranian Journal of Science and Technology-Transactions of Electrical Engineering ENGINEERING, ELECTRICAL & ELECTRONIC-

CiteScore

5.50

自引率

4.20%

发文量

审稿时长

>12 weeks

期刊介绍： Transactions of Electrical Engineering is to foster the growth of scientific research in all branches of electrical engineering and its related grounds and to provide a medium by means of which the fruits of these researches may be brought to the attentionof the world’s scientific communities. The journal has the focus on the frontier topics in the theoretical, mathematical, numerical, experimental and scientific developments in electrical engineering as well as applications of established techniques to new domains in various electical engineering disciplines such as: Bio electric, Bio mechanics, Bio instrument, Microwaves, Wave Propagation, Communication Theory, Channel Estimation, radar & sonar system, Signal Processing, image processing, Artificial Neural Networks, Data Mining and Machine Learning, Fuzzy Logic and Systems, Fuzzy Control, Optimal & Robust ControlNavigation & Estimation Theory, Power Electronics & Drives, Power Generation & Management The editors will welcome papers from all professors and researchers from universities, research centers, organizations, companies and industries from all over the world in the hope that this will advance the scientific standards of the journal and provide a channel of communication between Iranian Scholars and their colleague in other parts of the world.