共查询到19条相似文献,搜索用时 109 毫秒
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为给冲击雷达提供理想的发射源,利用功率合成技术,将多个数kV,ns级的固态脉冲源合成为MW量级的高功率脉冲源;为研究冲击雷达目标特性,设计了一套由功率合成的全固态脉冲发射机、超宽带平面TEM喇叭发射天线阵、超宽带开槽接收天线阵、正交解调采样接收机、主控计算机组成的冲击体制雷达目标探测系统;采用增大收发天线、目标与地面的距离以及在目标回波中加时间窗的方法,成功探测到2 km处在光学区RCS为0.01 m2的目标;采用16个发射单元的目标回波信号比采用8个发射单元时明显,这表明功率合成在采用较多发射单元时效果更为明显。 相似文献
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逆合成孔径成像激光雷达能够实现对运动目标的高分辨实时成像,但激光信号的极大带宽和目标回波信号的微弱性给雷达回波数据的接收和处理带来了较大困难.针对这一问题,提出了基于光外差探测手段和压缩感知理论相结合的信号采样方法,首先通过光外差探测降低回波信号的有效带宽,再结合压缩感知理论实现对信号的稀疏化采样和重构.仿真结果证明了运用本文所提出的采样方法,在使用远低于奈奎斯特定理所规定的采样率时,仍然能够实现对目标的高质量成像. 相似文献
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为实现对激光雷达回波峰值的测量,介绍了一种应用于激光雷达接收机的回波峰值检测量化电路,采用对电压回波脉冲采样保持的方法配合低速模拟数字转换器(Analog to Digital Converter,ADC)来实现回波峰值的高精度量化。电路采用SMIC 0.18μm工艺设计,仿真结果显示,该电路采样电压动态范围为800 mV,采样3 ns脉宽的脉冲保持电压误差小于3.16%,实现10 bit的量化精度。整体电路采样周期由外部使能信号和复位信号控制,可满足不同场合下激光雷达接收机回波峰值采样的应用需求。 相似文献
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提出多速率短时傅里叶变换(Multi Rate Short Time Fourier Transform,MR-STFT)瞬时频率估计算法,提高了超宽带信号瞬时频率估计精度。该方法将多速率信号处理算法与短时傅里叶变换(STFT)技术相结合,兼顾采样频率和被测频率,将宽频范围进行分段采样,对分段处理结果进行拟合,构成多速率STFT算法,实现超宽带信号瞬时频率的高精度测量。论文通过对仿真信号和实测信号进行处理,研究了方法的可行性和频率估计精度,结果表明MR-STFT算法较大提高了超宽带信号瞬时频率估计精度,尤其对低信噪比的超宽带信号效果显著。 相似文献
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该文首先简要介绍了软件无线电的基本原理和基于软件无线电的射频接收系统的3种结构形式:射频全宽开低通采样结构,射频直接带通采样结构和宽带中频带通采样结构;并介绍了磁共振成像(MRI)回波信号接收的基本原理和将软件无线电方法应用于MRI回波信号接收的意义. 然后该文重点介绍了采用3种软件无线电结构实现MRI回波信号接收系统的具体设计方案,包括接收系统方框图、工作原理、设计参数的选择和分析、部分功能模块的实现方法、设计和实现中需要注意的问题. 最后以一个低场通用MRI回波接收系统为实例,分析比较了3种设计方案并给出了实际系统的测试结果. 相似文献
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提出了一种参数化设计方法,实现了雷达高度表接收机灵敏度的自动化测试,提高了接收机灵敏度的测试效率和测试准确度。利用计算机程序通过GPIB协议控制直流稳压电源、信号源、示波器等标准仪器,实现了雷达高度表的加电和断电、雷达回波信号的模拟、雷达高度表输出端信号的检测。针对测试需求,充分考虑接收机灵敏度测试方案的通用性和可扩展性,设计了通用的测试模型,据此开发的软件可自动给出测试结论。在程序中设计了求取灵敏度最优频点和灵敏度的优化迭代算法,节省了测试时间。利用数据库技术对被测雷达高度表相关信息和测试数据进行管理,便于将测试结果与历史数据进行比对。 相似文献
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设计了悬臂梁振动引起的微多普勒频移实验系统.采用10.525GHz的X波段雷达模块发射和接收电磁波,采用AD620放大雷达回波毫伏级信号,采用NI-6009数据采集模块与LabVIEW软件对回波信号采集、滤波、加窗和频谱分析,采用压电传感器验证雷达测频结果.实验结果表明:悬臂梁的有阻尼自由振荡对雷达波产生频率调制作用,其微多普勒频谱图由相邻间距为固有频率的谱线对构成. 相似文献
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We experimentally demonstrate the ultra-high range resolution of a photonics-based microwave radar using a high repetition rate actively mode-locked laser(AMLL). The transmitted signal and sampling clock in the radar originate from the same AMLL to achieve a large instantaneous bandwidth. A Ka band linearly frequency modulated signal with a bandwidth up to 8 GHz is successfully generated and processed with the electro-optical upconversion and direct photonic sampling. The minor lobe suppression(MLS) algorithm is adopted to enhance the dynamic range at a cost of the range resolution. Two-target discrimination with the MLS algorithm proves the range resolution reaches 2.8 cm. The AMLL-based microwave-photonics radar shows promising applications in high-resolution imaging radars having the features of high-frequency band and large bandwidth. 相似文献
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在超声探伤系统中,通常要求回波幅度的垂直线性误差小于±5%,通常采样率需10倍于原始信号频率以上,对于高频探头来说对仪器的A/D性能要求较高。该文提出了一种基于现场可编程门阵列的对探伤信号恢复幅值方法,采用高效的级联积分梳状滤波器(CIC滤波器)及其FIR补偿滤波器进行滤波插值,在有限的采样频率下实现了高频信号的幅值恢复,并通过MATLAB和自研硬件平台进行了仿真、架构和实验,验证了CIC插值滤波器的滤波误差小于2.2%且效率高于具有同等插值效果的FIR插值滤波器,具备很好的工程应用价值。 相似文献
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Acceleration target detection based on LFM radar 总被引:1,自引:0,他引:1
In radar systems, the echo signal caused by an accelerated target can be similarly considered as linear frequency modulation (LFM) signal. In high signal-to-noise ratio (SNR), discrete polynomial-phase transform (DPT) algorithm can be used to detect the echo signal, as it has low computation complexity and high real-time performance. However, in low SNR, the DPT algorithm has a large mean square error of the rate of frequency modulation and a low detection probability. In order to detect LFM signal in low SNR, this paper proposes a detection method, segment discrete polynomial-phase transform (SDPT), which means, at first, dividing the whole echo pulses into several segments with same duration in time domain, and then, using coherent accumulation method of DFT to segments, at last, processing this signal with DPT in intra-segment. In the case of a large number of segments, the SDPT can improve the output SNR. In addition, in a certain SNR, to the target signal with big sampling interval, large acceleration and less segments, this paper proposes an algorithm to detect the LFM signal generated from the combination of an improved DPT (IDPT) and fractional Fourier transform (FRFT). The output SNR of this algorithm is connected with the length of time delay. In the simulation, when the length of the time delay is 0.2 N, the output SNR is 2.5 dB more than that which results from directly using DPT. Finally, the detection performance and algorithm complexity of the proposed algorithm were analyzed, and the simulated and measured data verify the effectiveness of the algorithm. 相似文献
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The intensity detection of single-photon detectors based on photon counting probability density statistics 下载免费PDF全文
Single-photon detectors possess the ultra-high sensitivity, but they cannot directly respond to signal intensity. Conventional methods adopt sampling gates with fixed width and count the triggered number of sampling gates, which is capable of obtaining photon counting probability to estimate the echo signal intensity. In this paper, we not only count the number of triggered sampling gates, but also record the triggered time position of photon counting pulses. The photon counting probability density distribution is obtained through the statistics of a series of the triggered time positions. Then Minimum Variance Unbiased Estimation(MVUE) method is used to estimate the echo signal intensity. Compared with conventional methods, this method can improve the estimation accuracy of echo signal intensity due to the acquisition of more detected information. Finally, a proof-of-principle laboratory system is established. The estimation accuracy of echo signal intensity is discussed and a high accuracy intensity image is acquired under low-light level environments. 相似文献