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2018 19th International Radar Symposium (IRS)最新文献

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Resident Space Object Passive Bistatic Radar Detection Using DVB-S2 Signals 基于DVB-S2信号的驻留空间目标被动双基地雷达探测
Pub Date : 2018-06-01 DOI: 10.23919/IRS.2018.8448182
L. Gentile, A. Capria, M. Conti, C. Moscardini, M. Martorella
Monitoring objects in Earth’s orbit and preventing collisions is becoming an increasingly widespread task. In this regard, several monitoring systems using different type of sensors have been developed over time: Optical, Laser and Radar. In particular, and contrary to optical systems, Radar allows both day and night observation, in every weather condition. The aim of this work is to discuss the feasibility of a DVB-S2 based passive multi-bistatic radar system for the detection and tracking of Resident Space Objects (RSOs) and to consider its advantages, in comparison with active ground-based systems.
监测地球轨道上的物体并防止碰撞正成为一项日益广泛的任务。在这方面,随着时间的推移,使用不同类型传感器的几种监测系统得到了发展:光学、激光和雷达。特别是,与光学系统相反,雷达允许在任何天气条件下进行白天和夜间观测。这项工作的目的是讨论基于DVB-S2的被动多双基地雷达系统用于探测和跟踪驻留空间目标(rso)的可行性,并考虑其与有源地面系统相比的优势。
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引用次数: 2
3D Mechanically Pivoting Radar System using FMCW Approach 基于FMCW方法的三维机械旋转雷达系统
Pub Date : 2018-06-01 DOI: 10.23919/IRS.2018.8447931
S. Nowok, G. Briese, S. Kueppers, R. Herschel
This paper presents a 3D millimeter wave system for robotic mapping and localization as well as for security scan applications. The system at 80 GHz uses a mechanically rotating radar system in azimuth and elevation to generate the 3D image. With this configuration a 3dB spread of an single reflector results in an azimuth and elevation resolution of 3.8°. An FMCW-Radar bandwidth can be variable adjusted up to 25 GHz, which results in an maximum range resolution of 6 mm. The principle of the system is presented including the functional structure and the hardware design.
本文介绍了一种用于机器人测绘和定位以及安全扫描应用的三维毫米波系统。该系统在80 GHz使用机械旋转雷达系统的方位和仰角来生成3D图像。在这种配置下,单个反射器的3dB扩展导致方位角和仰角分辨率为3.8°。fmcw雷达带宽可可变调节至25 GHz,最大距离分辨率为6 mm。介绍了系统的工作原理,包括系统的功能结构和硬件设计。
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引用次数: 1
Photonics for mmW signal generation 毫米波信号产生的光子学
Pub Date : 2018-06-01 DOI: 10.23919/IRS.2018.8448171
G. Serafino, F. Scotti, D. Onori, F. Falconi, F. Amato, P. Ghelfi, A. Bogoni
Microwave signal generation based on photonics has been demonstrated to provide high-quality and software-defined RF signals with unprecedented frequency tuning in a very large RF spectrum including the millimeter wave (mmW) spectral range, for new generations of extremely adaptive and high-resolution radar systems. An important feature of the photonics-based RF generation is the high and constant performance on the whole interval of operation frequencies. In this way, photonics overcomes the limitations of electronic technologies, whose performance strongly degrade with the frequency increase. Moreover, photonics-based RF generation can be implemented on chip through photonic integrated circuits, making the solution competitive with today’s RF oscillators, also in terms of size, weight and power consumption. Different photonic techniques can be adopted for mmW signal generation, i.e., based on injection locking of independent continuous wave lasers, multi-frequency lasers (e.g., mode locked laser, or opto-eletronic oscillators. This paper will detail on these techniques and it will show few important results demonstrating the large band of operation and the unprecedented performance of the photonics-based RF signal generators. Finally, an analysis of the requested integrated photonics technologies will be reported.
基于光子学的微波信号生成已被证明可以在包括毫米波(mmW)频谱范围在内的非常大的射频频谱范围内提供高质量和软件定义的射频信号,为新一代极自适应和高分辨率雷达系统提供前所未有的频率调谐。基于光子学的射频发生器的一个重要特点是在整个工作频率区间内具有高且稳定的性能。通过这种方式,光子学克服了电子技术的局限性,电子技术的性能随着频率的增加而严重下降。此外,基于光子学的射频产生可以通过光子集成电路在芯片上实现,使得该解决方案在尺寸、重量和功耗方面与当今的射频振荡器具有竞争力。毫米波信号的产生可以采用不同的光子技术,即基于独立连续波激光器的注入锁定、多频激光器(如锁模激光器)或光电振荡器。本文将详细介绍这些技术,并将展示一些重要的结果,展示基于光子的射频信号发生器的大频段操作和前所未有的性能。最后,对所需要的集成光子技术进行了分析。
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引用次数: 2
Analysis of Measurement Association Methods in PCL-PET Passive Location System PCL-PET无源定位系统中测量关联方法分析
Pub Date : 2018-06-01 DOI: 10.23919/IRS.2018.8448243
Marek Konopko, Leszek Lamentowski, W. Dyszyński, T. Brenner
The most comprehensive challenge in tracking system for PCL-PET (Passive Coherent Location – Passive Emitter Tracking) multistatic passive radiolocation system is the problem of ambiguity of measurement association to tracks due to different coordinate systems (bistatic and polar systems for measurements and Cartesian system for tracking). This paper analyzes measurement association methods in order to maximize the sum of gains of all associations and also analyzes multihypothesis measurement association method.
PCL-PET(无源相干定位-无源辐射源跟踪)多静态无源无线电定位系统的跟踪系统面临的最全面的挑战是由于不同的坐标系(双基地和极坐标系的测量和笛卡尔坐标系的跟踪)导致的测量与航迹关联的模糊性问题。本文分析了以所有关联的收益总和最大化为目标的度量关联方法,并分析了多假设度量关联方法。
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引用次数: 1
Maneuver Detector for Active Tracking Update Rate Adaptation 主动跟踪更新速率自适应机动检测器
Pub Date : 2018-06-01 DOI: 10.23919/IRS.2018.8447950
Marion Pilté, S. Bonnabel, F. Barbaresco
The update rate criterion used by Blackman and Van Keuk in [1] is designed to adapt the update rate of the radar when the estimation filter is reliable, which excludes the cases of high maneuvers. In this paper, we thus propose a method to detect the maneuvers, so that urgent pointings can be ordered with a wider beamwidth as soon as a maneuver is detected, to prevent target loss. This is a complementary approach to the Blackman and Van Keuk solution. The target model we opt for is based on the assumption of piecewise constant velocity’s norm, curvature, and torsion, with jumps of those latter parameters at unknown random times. To perform maneuver detection, we use the Variable Rate Particle Filter (VRPF), which is a particle filter that allows considering dynamical systems that jump at unknown random times which differ from the measurement times, and is here fed with the IEKF outputs and used as a maneuver detector.
Blackman和Van Keuk在[1]中使用的更新速率准则是为了在估计滤波器可靠的情况下适应雷达的更新速率,排除了高机动的情况。因此,我们提出一种侦测机动的方法,以便在侦测到机动后,立即以更宽的波束宽度命令紧急指向,以防止目标损失。这是对Blackman和Van Keuk解决方案的补充。我们选择的目标模型是基于分段匀速范数、曲率和扭转的假设,这些参数在未知的随机时间跳跃。为了执行机动检测,我们使用可变速率粒子滤波器(VRPF),这是一种粒子滤波器,允许考虑在未知随机时间(不同于测量时间)跳跃的动态系统,并且在这里与IEKF输出一起输入并用作机动检测器。
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引用次数: 4
Mathematical Modelling and Simulations of Complex Breathing Patterns Detected by RADAR Sensors 由雷达传感器探测到的复杂呼吸模式的数学建模和模拟
Pub Date : 2018-06-01 DOI: 10.23919/IRS.2018.8448045
U. Karahasanovic, Thomas Stifter, H. Beise, A. Fox, D. Tatarinov
We present a mathematical model for chest and abdomen motion during breathing, where a radar-based sensor records the superposition of the signals coming from chest and abdominal regions. The oscillatory movement of abdomen does not necessarily need to be synchronous to that of a chest. The degree of asynchrony between these two motions, called thoracoabdominal asynchrony can be described by the phase-lag angle. A large value of the phase-lag angle indicates the presence of certain breathing abnormalities, such as bronchopulmonary dysplasia, airway obstruction or the presence of certain neuromuscular diseases. Using a simple mathematical model, we show that different values for the phase lag lead to different complex shapes in the in-phase versus quadrature signal plane (complex plane). In the limit of large carrier wavelength (when the carrier wavelength is much larger than the typical chest/abdomen displacement amplitude during breathing), these shapes reduce to Lissajous figures. We present Matlab simulation results, where thoracoabdominal asynchrony was simulated using a radar simulation and analysis tool that models the entire signal chain from RF to IF domain.
我们提出了呼吸过程中胸部和腹部运动的数学模型,其中基于雷达的传感器记录来自胸部和腹部区域的信号叠加。腹部的振荡运动不一定要与胸部的运动同步。这两种运动之间的不同步程度,称为胸腹不同步,可以用相位滞后角来描述。相位滞后角值较大表明存在某些呼吸异常,如支气管肺发育不良、气道阻塞或存在某些神经肌肉疾病。利用一个简单的数学模型,我们证明了不同的相位滞后值会导致同相与正交信号平面(复平面)中不同的复杂形状。在大载波波长的限制下(当载波波长远远大于呼吸时典型的胸/腹位移幅度时),这些形状减少到利萨尤形状。我们给出了Matlab仿真结果,其中使用雷达仿真和分析工具模拟了胸腹异步,该工具模拟了从射频到中频域的整个信号链。
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引用次数: 3
Optimal CPI selection based on Doppler Spread and Image Contrast 基于多普勒扩散和图像对比度的CPI优化选择
Pub Date : 2018-06-01 DOI: 10.23919/IRS.2018.8448069
D. Cataldo, M. Martorella
Radar systems often allow for long dwell time on target. This can be achieved by using either wide beam antennas or by means of tracking systems. Long observation times are useful because they increase the probability to form effective Radar images. In fact, Radar images of non-cooperative moving targets strongly depend on the target’s motions and often they are hard to interpret due to the particular image projection plane formed. Moreover, the image focus depends on the same motions. Therefore, it becomes essential to select a suitable time window in order to obtain an effective Radar image. This paper proposes a new technique for optimal time window selection. The proposed method is meant to combine different image quality parameters, namely Image Contrast (IC) and Doppler Spread (DS) and is tested by using real Radar data.
雷达系统通常允许长时间停留在目标上。这可以通过使用宽波束天线或通过跟踪系统来实现。较长的观测时间是有用的,因为它们增加了形成有效雷达图像的可能性。事实上,非合作运动目标的雷达图像强烈依赖于目标的运动,并且由于形成的特定图像投影平面而难以解释。此外,图像焦点依赖于相同的运动。因此,为了获得有效的雷达图像,选择合适的时间窗变得至关重要。本文提出了一种新的最优时间窗选择方法。该方法结合了不同的图像质量参数,即图像对比度(IC)和多普勒扩频(DS),并通过实际雷达数据进行了验证。
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引用次数: 1
Direct Signal Interference Mitigation By Slow-Time Frequency Correction For OFDM-Based Passive Radar 基于ofdm的无源雷达慢时频率校正抑制直接信号干扰
Pub Date : 2018-06-01 DOI: 10.23919/IRS.2018.8448150
Christof Schüpbach, S. Welschen
Algorithms to suppress the direct signal in the surveillance channel are vital for passive radar systems. In systems using digital waveforms, however, target detection is already possible without such suppression algorithms and hence they have so far gotten less attention. We show that a major cause of direct signal interference in OFDM-based waveforms is a frequency offset between the transmitter and the receiver. We propose a simple and computationally efficient way of correcting this offset and demonstrate its effectiveness for both digital audio and video broadcasting (DAB and DVB-T) signals.
抑制监视信道中直接信号的算法对无源雷达系统至关重要。然而,在使用数字波形的系统中,没有这种抑制算法的目标检测已经成为可能,因此到目前为止,它们得到的关注较少。我们表明,在基于ofdm的波形中,直接信号干扰的主要原因是发射器和接收器之间的频率偏移。我们提出了一种简单且计算效率高的方法来校正这种偏移,并证明了它对数字音频和视频广播(DAB和DVB-T)信号的有效性。
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引用次数: 2
Using Golay Sequences to Improve the Range Performance of Hybrid Codes for MIMO Radar 利用Golay序列提高MIMO雷达混合码的距离性能
Pub Date : 2018-06-01 DOI: 10.23919/IRS.2018.8448132
M. Schöpe, H. Driessen, A. Yarovoy
In this paper, waveforms for MIMO phased array radar to enhance cross-range resolution are investigated. The problem of high sidelobes in range created by the use of Hybrid Codes with a single waveform and spatial coding is considered and a method to reduce these sidelobes by the use of Golay sequences as spatial codes is proposed. It is shown that the proposed method achieves the same range performance as a phased array radar with one waveform, despite creating additional sidelobes in Doppler.
本文研究了MIMO相控阵雷达用于提高跨距离分辨率的波形。考虑了单波形混合码与空间编码在距离内产生的高副瓣问题,提出了一种利用Golay序列作为空间码来降低副瓣的方法。结果表明,尽管在多普勒中产生了额外的副瓣,但该方法仍能获得与单波形相控阵雷达相同的距离性能。
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引用次数: 0
Radar Signal Processing with OpenCL on Integrated Graphic Processors 集成图形处理器上的OpenCL雷达信号处理
Pub Date : 2018-06-01 DOI: 10.23919/IRS.2018.8448262
Markus Bantle, Pierre Bayerl, Stefan Funken, Michael N. Thoma
In this work we investigate the use of OpenCL to implement radar signal processing algorithms on integrated graphic chips of Intel processors. Hereby a typical radar signal processing chain consisting of pulse compression, Doppler filtering, CFAR detection, and plot extraction is considered. The full processing chain is implemented and optimized with OpenCL and benchmarked extensively. Our results show that in general GPUs are well suited for radar signal processing. The usage of integrated graphics chips has the potential to add significant processing power of the magnitude of a typical CPU. With a middle class dedicated GPU we could achieve a significant speed-up of all signal processing algorithms as compared to CPUs or integrated graphics chips.
在这项工作中,我们研究了使用OpenCL在英特尔处理器的集成图形芯片上实现雷达信号处理算法。本文考虑了一个典型的雷达信号处理链,包括脉冲压缩、多普勒滤波、CFAR检测和图提取。利用OpenCL实现和优化了整个处理链,并进行了广泛的基准测试。我们的结果表明,一般来说,gpu非常适合雷达信号处理。集成图形芯片的使用有可能增加典型CPU量级的显著处理能力。与cpu或集成图形芯片相比,使用中产阶级专用GPU,我们可以实现所有信号处理算法的显着加速。
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引用次数: 1
期刊
2018 19th International Radar Symposium (IRS)
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