雷达动目标检测：Radon-分数阶傅里叶变换方法

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"该文提出了一种基于Radon-分数阶傅里叶变换(RFRFT)的雷达动目标检测新方法，旨在通过长时间相参积累技术增强微弱动目标的探测能力。该方法针对动目标回波信号的距离和多普勒徙动特性，首先在距离-慢时间二维平面上提取目标观测值，然后利用RFRFT进行匹配和积累，并通过RFRFT域的检测单元图来检测非匀速运动目标。这种方法可以同时补偿距离和多普勒徙动的影响，有效地抑制背景杂波和噪声，从而提高积累增益。作者通过仿真验证了该方法在强杂波环境下的微弱动目标检测效能，展示了其优越性。" 本文是陈晓龙、刘宁波、王国清和关健四位作者发表在《天体学报/电子与信息工程》(Tien Tzu Hsueh Pao/Acta Electronica Sinica)2014年第42卷第6期上的研究，对应的文章编号为201442112962。研究主要关注雷达动目标检测，特别是针对长时间相参积累技术的应用。作者指出，这种技术对于提升雷达对微弱运动目标的探测性能至关重要。动目标检测是雷达系统中的核心问题，尤其是在复杂环境如强杂波背景中，需要有效的方法来区分微弱的目标信号和噪声。传统的雷达检测方法可能在处理非匀速运动目标时遇到困难，因为这类目标的距离和多普勒徙动难以精确预测和补偿。为了克服这一挑战，作者引入了Radon-分数阶傅里叶变换。RFRFT是一种强大的数学工具，它结合了Radon变换和分数阶傅里叶变换的特性，能够在频域和空间域上同时进行分析，因此特别适合处理具有复杂运动特性的目标。在该方法中，首先根据预设的运动参数搜索范围，在距离-慢时间平面上提取目标信号。接着，应用RFRFT进行变换，这一步骤有助于识别和分离目标信号。匹配和积累过程在RFRFT域内进行，以进一步提升信号的信噪比。通过构建的RFRFT域检测单元图，可以有效地检测到非匀速运动的目标，即使在存在大量背景杂波的情况下，也能实现高精度的检测。通过仿真结果，作者证明了该RFRFT基

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Detailed results: 1

Downloaded: 12/13/2014

1. Radar detection method for moving target based on radon-fourier fractional fourier

transform

Accession number: 201442112962

Authors: Chen, Xiao-Long (1); Liu, Ning-Bo (2); Wang, Guo-Qing (2); Guan, Jian (1)

Author affiliation: (1) Department of Electronic and Information Engineering, Naval Aeronautical and Astronautical

University, Yantai; Shandong, China; (2) Institute of Information Fusion, Naval Aeronautical and Astronautical

University, Yantai; Shandong, China

Corresponding author: Chen, Xiao-Long

Source title: Tien Tzu Hsueh Pao/Acta Electronica Sinica

Abbreviated source title: Tien Tzu Hsueh Pao

Volume: 42

Issue: 6

Issue date: June 1, 2014

Publication year: 2014

Pages: 1074-1080

Language: Chinese

ISSN: 03722112

CODEN: TTHPAG

Document type: Journal article (JA)

Publisher: Chinese Institute of Electronics

Abstract: Long-time coherent integration technique is one of the most important methods for the improvement of radar

detection ability of weak moving target. Based on the analysis of range and Doppler migrations of a moving target,

a long-time coherent integration method via Radon-fractional Fourier transform (RFRFT) is proposed. The target's

observation values in the range-slow time plane are firstly extracted according to the searching area of the preset

motion parameters. Then the observation values are matched and accumulated by FRFT and a nonuniformly moving

target can be declared by the detection map in the RFRFT domain. The proposed method can compensate the across

range unit and Doppler frequency migration effects simultaneously. In addition, the background clutter and noise can

be well suppressed, which increases the integration gain. Simulation results show that the proposed method has the

ability of detecting weak moving target under strong clutter environment.

Number of references: 11

Main heading: Target tracking

Controlled terms: Clutter (information theory) - Doppler effect - Fourier transforms - Integration - Radar - Radon -

Tracking radar

Uncontrolled terms: Across range unit - Doppler frequency - Long-time coherent integrations - Moving target

detection - Radon-fractional Fourier transform (RFRFT)

Classification code: 711.1 Electromagnetic Waves in Different Media - 716.1 Information Theory and Signal

Processing - 716.2 Radar Systems and Equipment - 804 Chemical Products Generally - 921.2 Calculus - 921.3

Mathematical Transformations

DOI: 10.3969/j.issn.0372-2112.2014.06.006

Database: Compendex

Data Provider: Engineering Village

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