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IEEE International Radar Conference, 2005.最新文献

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Two new approaches for detecting a maneuvering air target in strong sea-clutter 强海杂波中机动空中目标探测的两种新方法
Pub Date : 2005-05-09 DOI: 10.1109/RADAR.2005.1435798
Yu Zhang, S. Qian, T. Thayaparan
Two new approaches for detecting a maneuvering air target in strong sea-clutter are proposed in this paper. One is based on the adaptive chirplet decomposition, and the other is inspired by the spectral subtraction. Experiments with real-world data samples show that both methods presented in this paper can effectively enhance the Doppler radar signals from maneuvering air targets though each has different strength and weakness.
本文提出了两种强海杂波条件下机动空中目标探测的新方法。一种是基于自适应小波分解,另一种是受谱减法的启发。实际数据样本实验表明,本文提出的两种方法虽然优缺点不同,但都能有效增强机动空中目标的多普勒雷达信号。
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引用次数: 0
Mechanically beam-scanning NRD guide FM-CW radar for distance estimation at 60 GHz band 60 GHz波段机械波束扫描NRD制导调频-连续波雷达
Pub Date : 2005-05-09 DOI: 10.1109/RADAR.2005.1435933
F. Kuroki, Y. Wagatsuma, T. Yoneyama
An FM-CW radar front-end was fabricated in an integrated manner at 60 GHz by using the NRD guide. Main emphasis was placed on compactness in size and high-precise operation in performance. The fabricated radar consists of an FM Gunn oscillator, a balanced mixer, and a planar antenna fed by leaky NRD guide with a mechanically beam-scanning performance. All circuit components and the antenna were contained in a compact housing of 170 /spl times/ 140 mm in area and 25 mm in thickness, and thus, a thin type of millimeter-wave radar front-end was successfully developed. And moreover, an error of distance estimation was measured to be less than a distance of 0.7 m.
采用NRD制导,在60 GHz频段集成制作了FM-CW雷达前端。主要的重点放在紧凑的尺寸和高精度的操作性能。该雷达由调频Gunn振荡器、平衡混频器和具有机械波束扫描性能的泄漏NRD波导馈电平面天线组成。所有电路元件和天线都包含在面积为170 /spl倍/ 140 mm,厚度为25 mm的紧凑外壳中,从而成功开发了薄型毫米波雷达前端。距离估计误差在0.7 m以内。
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引用次数: 0
The method to inverse-simulate spaceborne MPC SAR data based on common airborne SAR data 基于机载通用SAR数据的星载MPC SAR数据反模拟方法
Pub Date : 2005-05-09 DOI: 10.1109/RADAR.2005.1435908
Wang Feng, Xiang Jiabin, Yang Jun
This paper proposes a method to generate simulation data of spaceborne MPC SAR from real airborne complex image SAR data. This method can be used for testing the theoretical analysis result of spaceborne MPC SAR.
提出了一种利用机载真实复杂图像SAR数据生成星载MPC SAR仿真数据的方法。该方法可用于星载MPC SAR理论分析结果的验证。
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引用次数: 0
Advances in non-linear apodization for irregularly shaped and sparse two dimensional apertures 不规则形状和稀疏的二维孔径的非线性apoization研究进展
Pub Date : 2005-05-09 DOI: 10.1109/RADAR.2005.1435904
H. C. Stankwitz, S. Taylor
Presented in this paper are selected new methods and applications of non-linear apodization for irregularly-shaped and sparse coherent apertures and arrays. The benefits include improved impulse response performance, i.e. reduced peak sidelobes and integrated sidelobe power, along with improved mainlobe resolution, compared to classic windowing techniques. Non-linear apodization (NLA) techniques can also serve as powerful engines for effective superresolution and bandwidth extrapolation of coherent data for filling sparse apertures. The sparse aperture filling property of superresolution algorithms for radar data forms the basis for a new concept which is introduced here: synthetic multiple aperture radar technology (SMART). Increased swath and/or reduced antenna size are some of the benefits postulated for SMART applied to synthetic aperture radar (SAR) systems. The benefits of these new methods and applications for nonlinear apodization are then demonstrated for two specific applications: 1) side lobe control for Y-type synthetic aperture radiometers, such as the European soil moisture and ocean salinity (SMOS) system [12] and JPL's proposed GeoSTAR [13] concept; and, 2) filling of sparse synthetic aperture radar data by exploiting the bandwidth extrapolation properties of non-linear apodization based superresolution techniques. The methods that have been developed and demonstrated here have potential application to a wide range of passive and e microwave remote sensing and radar systems.
本文介绍了异形稀疏相干孔径和阵列非线性解析的新方法及其应用。与传统的加窗技术相比,其优点包括提高脉冲响应性能,即降低峰值旁瓣和集成旁瓣功率,以及提高主瓣分辨率。非线性apodiization (NLA)技术也可以作为有效的超分辨率和带宽外推相干数据填充稀疏孔径的强大引擎。雷达数据的超分辨率算法的稀疏孔径填充特性构成了一个新概念的基础,本文介绍了合成多孔径雷达技术(SMART)。增大的幅线和/或减小的天线尺寸是SMART应用于合成孔径雷达(SAR)系统的一些好处。这些新方法和应用在非线性离化方面的好处随后在两个具体应用中得到了证明:1)y型合成孔径辐射计的旁瓣控制,如欧洲土壤湿度和海洋盐度(SMOS)系统[12]和JPL提出的GeoSTAR[13]概念;2)利用基于非线性apoization的超分辨率技术的带宽外推特性对稀疏合成孔径雷达数据进行填充。在此开发和演示的方法在广泛的无源和微波遥感和雷达系统中具有潜在的应用前景。
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引用次数: 2
Sea and air moving target measurements using a GSM based passive radar 使用基于GSM的无源雷达测量海空移动目标
Pub Date : 2005-05-09 DOI: 10.1109/RADAR.2005.1435932
D. Tan, Hongbo Sun, Yilong Lu
A passive radar is essentially a receiver-only radar that does not transmit signals; it only receives and thus operates independently without the direct synchronization from the non-cooperative illuminator. GSM base station transmitter as the illuminator of opportunity in a passive radar offers a covert means of uninterrupted surveillance where the major advantage is that the emitters of such transmissions are abundant. This paper presents an overview description of a low-cost experimental GSM based passive radar developed and implemented in Nanyang Technological University, Singapore. It describes the hardware architecture design and integration as well as the associated signal processing scheme of this experimental passive radar. Numerous field experiments were conducted with interesting results on sea and air moving target Doppler frequency detection and tracking presented to demonstrate and ascertain the performances and operating capabilities of the GSM based passive radar.
无源雷达本质上是一种只接收雷达,不发射信号;它只接收非合作照明器的直接同步,因此独立工作。GSM基站发射机作为无源雷达的照明机会,提供了一种隐蔽的不间断监视手段,其主要优点是这种传输的发射器丰富。本文概述了新加坡南洋理工大学研制并实现的低成本实验型GSM无源雷达。介绍了该实验型无源雷达的硬件结构设计与集成,以及相关的信号处理方案。通过对海上和空中运动目标多普勒频率检测和跟踪的大量现场实验,给出了有趣的结果,以验证和确定基于GSM的无源雷达的性能和工作能力。
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引用次数: 26
MATLAB-based toolkit for an introductory course in SAR image processing 基于matlab的SAR图像处理入门课程工具包
Pub Date : 2005-05-09 DOI: 10.1109/RADAR.2005.1435914
Randy J. Jost, A. Uppuluri
This paper documents the continuation of the work that started with a student paper presented at Radar04. The earlier paper was a description of a graphic user interface (GUI) for SAR data processing that was developed for classroom use, based on a previously published algorithm. This GUI and associated MATLAB toolbox has now been extended to include several other capabilities and has grown into a toolkit that can be used in an introductory course in SAR image processing. Besides the processing of raw SAR data, the GUI and toolbox now include additional teaching and research capabilities, to include additional types of speckle filters and image compression capability. Apart from this the user can choose from two different algorithms that help to extract the single look image from the raw SAR data. These algorithms were implemented in MATLAB, because of its wide availability, and "self documenting" capability. Thus, the resulting package is suitable for classroom use to illustrate the principles of SAR data processing. Results of the project is made available to the radar community for use by the other schools and institutions that desire a simple SAR processing capability. The MATLAB code has been extensively commented, so that it provides useful baseline for other class projects. Although the material presented is not cutting edge research, it does provide a much-needed tutorial introduction to SAR processing in the classroom. We have also begun developing C and Python based versions of this package so that users can make comparative performance measurements and understand how various implementations of the algorithms affect the end results. We would like to acknowledge the help received from Alaska Satellite Facility (ASF) and the Space Dynamics Laboratory (SDL) at Utah State University for this project.
本文记录了始于Radar04上发表的一篇学生论文的工作的延续。先前的论文描述了一个图形用户界面(GUI),用于SAR数据处理,该界面是基于先前发布的算法开发的,用于课堂使用。这个GUI和相关的MATLAB工具箱现在已经扩展到包括其他几个功能,并已成长为一个工具包,可以在SAR图像处理的入门课程中使用。除了处理原始SAR数据外,GUI和工具箱现在还包括额外的教学和研究功能,包括额外类型的散斑过滤器和图像压缩功能。除此之外,用户可以从两种不同的算法中进行选择,以帮助从原始SAR数据中提取单个外观图像。这些算法是在MATLAB中实现的,因为它具有广泛的可用性和“自记录”能力。因此,生成的软件包适合在课堂上使用,以说明SAR数据处理的原理。该项目的结果提供给雷达社区,供其他希望获得简单SAR处理能力的学校和机构使用。MATLAB代码已被广泛注释,因此它为其他类项目提供了有用的基线。虽然所提供的材料不是前沿研究,但它确实提供了课堂上急需的SAR处理教程。我们也开始开发这个包的基于C和Python的版本,这样用户就可以比较性能度量,并了解算法的不同实现如何影响最终结果。我们要感谢阿拉斯加卫星设施(ASF)和犹他州立大学空间动力学实验室(SDL)对这个项目的帮助。
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引用次数: 7
Modeling and validation of modulated characteristics for aircraft rotating structure in the air surveillance radars 空中监视雷达中飞机旋转结构调制特性的建模与验证
Pub Date : 2005-05-09 DOI: 10.1109/RADAR.2005.1435905
Ding Jianjiang, Yu Zhiqiang, Yan Da-zhi, R. Chongji
A practical parametric model (PPM), described the modulated characteristics for aircraft rotating structure in the air surveillance radars is presented and validated. Firstly, the scattering mechanism of the modulated signatures generated by aircraft rotating structure is described systematically based on the optical electromagnetism scattering theories. Secondly, the PPM is proposed based on some theoretical parametric models, the radar system and aircraft rotating structure. The relationships between the modulated signatures of the air surveillance radar echoes and the physical rotating structures of aircraft are analyzed. Thirdly, the PPM is validated by analysis of different conditions echoes including aircraft configuration and orientation, radar parameters and operation. The results demonstrate that the relatively unchangeable modulated feature, which is corresponding to the rotating structure of helicopters and propellers, can be described with the PPM, and can be reliably and steadily extracted from the echoes of the air surveillance radars.
提出了一种实用的参数化模型(PPM),描述了空中监视雷达中飞机旋转结构的调制特性,并进行了验证。首先,基于光电磁散射理论,系统地描述了飞机旋转结构调制信号的散射机理。其次,在理论参数模型、雷达系统和飞机旋转结构的基础上,提出了PPM。分析了空中监视雷达回波调制特征与飞机物理旋转结构之间的关系。第三,通过分析飞机构型和方位、雷达参数和运行情况等不同条件回波,对PPM进行了验证。结果表明,PPM可以描述直升机和螺旋桨的旋转结构所对应的相对不变的调制特征,并且可以可靠、稳定地从空中监视雷达回波中提取调制特征。
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引用次数: 1
A smoothing Rao-Blackwellized particle filter for tracking a highly-maneuverable target 一种用于高机动目标跟踪的平滑rao - blackwell化粒子滤波器
Pub Date : 2005-05-09 DOI: 10.1109/RADAR.2005.1435967
H. Kamel, Wael Badawy
In this paper we apply a new smoothing Rao-Blackwellized particle filter to track a highly maneuverable target in a multiple-sensors network. The scenario of a highly-maneuverable target moving through a field of multiple sensors is addressed. The target is tracked through the sensors filed using both Rao-Blackwellized particle filter and the proposed smoothing filter. In a simulation comparison, the smoothing Rao-Blackwellized particle filter yields performance improvements when tracking a highly-maneuverable target.
本文采用一种新的平滑rao - blackwell化粒子滤波器来跟踪多传感器网络中的高机动目标。研究了高机动性目标在多传感器场中移动的情况。利用rao - blackwelzed粒子滤波和所提出的平滑滤波对目标进行跟踪。在仿真比较中,平滑rao - blackwell化粒子滤波器在跟踪高机动目标时性能得到改善。
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引用次数: 2
Wideband array antenna concept 宽带阵列天线概念
Pub Date : 2005-05-09 DOI: 10.1109/MAES.2006.1581120
B. Cantrell, J. Rao, G. Tavik, M. Dorsey, V. Krichevsky
This paper presents a unique wideband array concept that includes a wideband array aperture incorporating radiating elements of different sizes and inter-element spacings. The array is a fully-filled aperture consisting of a core region surrounded by several layers of radiating elements which increase in size. By proper selection of the core region and the number of layers, one can form a beam with specified beamwidth over a five to one frequency range. The proposed concept considerably reduces the cost and complexity by decreasing the effective number of radiating elements and the corresponding receive or transmit modules. Numerical simulation results, ignoring the mutual coupling effects, are presented for array patterns at several frequencies to prove the concept. A possible beamforming concept is also included. Additional work is planned to prove the viability of the concept by taking the mutual coupling into account.
本文提出了一种独特的宽带阵列概念,该概念包括一个包含不同尺寸和元件间距的辐射元件的宽带阵列孔径。该阵列是一个完全填充的孔径,由核心区域组成,周围是几层尺寸增加的辐射元件。通过适当选择核心区域和层数,可以在5到1的频率范围内形成具有指定波束宽度的波束。所提出的概念通过减少辐射元件的有效数量和相应的接收或发射模块,大大降低了成本和复杂性。在忽略相互耦合效应的情况下,给出了不同频率下阵列方向图的数值模拟结果来验证这一概念。一个可能的波束形成的概念也包括在内。计划开展更多的工作,通过考虑到相互耦合来证明这一概念的可行性。
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引用次数: 26
Synthetic aperture inversion for arbitrary flight paths in the presence of noise and clutter 噪声和杂波存在下任意飞行路径的合成孔径反演
Pub Date : 2005-05-09 DOI: 10.1109/RADAR.2005.1435937
B. Yazıcı, Margaret Cheney
This paper considers synthetic aperture radar and other synthetic aperture imaging systems from an arbitrary (known) flight path. We assume a single-scattering model for the radar data, and we assume that the ground topography is known but not necessarily flat. We focus on cases in which the antenna footprint is so large that the standard narrow-beam algorithms are not useful. For this case, (Nohan, CJ and Cheney, M, 2003) gave an explicit backprojection imaging formula that corrects for the ground topography, flight path, antenna beam pattern, source waveform, and other geometrical factors. In this paper, we show how to modify the backprojection algorithm to account for statistical information about noise and clutter.
本文研究了任意(已知)飞行路径下的合成孔径雷达和其他合成孔径成像系统。我们假设雷达数据的单散射模型,并且假设地面地形是已知的,但不一定是平坦的。我们关注的是天线占用空间太大以至于标准窄波束算法不起作用的情况。对于这种情况,(Nohan, CJ和Cheney, M, 2003)给出了一个明确的反向投影成像公式,该公式校正了地面地形、飞行路径、天线波束方向图、源波形和其他几何因素。在本文中,我们展示了如何修改反向投影算法来考虑噪声和杂波的统计信息。
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引用次数: 7
期刊
IEEE International Radar Conference, 2005.
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