脉冲串信号分辨力问题分析

从模糊函数、距离分辨力、速度分辨力三个角度对均匀脉冲串与重复周期参差脉冲串信号的分辨力问题进行分析,结合仿真图得到两类信号的分辨力特性及差异。结论为,重复周期参差脉冲串信号相对于均匀脉冲串信号较好地改善了测距测速二维模糊,但增大了速度模糊旁瓣的宽度和平均幅度。最后根据信号模糊度图给出了两类信号在实际应用中提高分辨力的相关措施。     

多孔硅-PMMA/DR1复合膜制备方法的研究

用直接浸泡、匀胶机涂布和超声波三种方法在多孔硅中嵌入了聚甲基丙烯酸甲酯/分散红1(PMMA/DR1),制备出多孔硅有机材料复合薄膜.研究了多孔硅孔隙率、匀胶机转速和PMMA甲苯溶液浓度等参量对PMMA/DR1嵌入多孔硅的影响.分析了嵌入PMMA/DR1后多孔硅的荧光及样品稳定性的变化情况.     

基于CTCNet对球结膜进行糖尿病视网膜病变分类

糖尿病视网膜病变(diabetic retinopathy, DR)是一种糖尿病性微血管病变,会在球结膜微血管上有所体现,球结膜血管图像的获取比眼底图像更加便捷,但微血管的特征变化微小且难以量化。为了能够对患者进行早期辅助诊断,本文依据球结膜微血管形态与DR的关联,首先对球结膜图像进行预处理,使用限制对比度自适应直方图均衡(contrast limited adaptive histogram equalization, CLAHE)算法进行图像增强,随机处理使数据增强,然后结合卷积神经网络(convolutional neural network, CNN)和Transformer各自的网络优势构建CTCNet,对处理后的球结膜血管图像进行DR分类,分类准确率达到了97.44%,敏感度97.69%,特异性97.11%,精确度97.69%,通过实验对比CNN和Transformer, CTCNet网络性能优于其他模型,能够有效识别DR。     

Effect of calcination temperature on Cu doped NiO nanoparticles prepared via wet-chemical method: Structural,optical and morphological studies

In the present study, NiO and Cu-doped NiO nanoparticles were successfully synthesized by wet chemical method at room temperature using sodium hydroxide (NaOH) as precipitating agent. The as-prepared Cu-doped NiO powder samples were subjected to three different calcination temperatures such as, 350 °C, 450 °C and 550 °C in order to investigate the impact of calcined temperatures on the phase formation, particle size and band gap evolution. The phase formation and crystal structure information of the prepared nanomaterials were examined by X-ray powder diffraction (XRD). XRD revealed the face-centered cubic (FCC) structure. Average crystalline size of pure and doped samples estimated using Scherer formula was found to be 15 nm and 9 nm respectively. With increase in the calcination temperature from 350 °C to 550 °C for the Cu doped NiO samples the particle size of the nanoparticles was found to increase from 4 nm to 9 nm respectively. The optical study for both pure and doped NiO nanoparticles was performed using an UV–Vis spectrophotometer in the wavelength range of 200–800 nm. The strong absorption in the UV region confirms the band gap absorption in NiO and was estimated from the UV–Vis diffuse reflectance spectra via Tauc plot. Systematic studies were also carried out to study the effect of calcination on the optical transmittance. Samples were also investigated using Raman and Fourier Transform Infrared Spectroscopy (FTIR). Furthermore, morphology of the pure NiO and Cu-doped NiO Nanoparticles were examined by scanning electron microscope (SEM).     

地面雷达数据处理系统设计

针对目前地面雷达数据处理中存在的目标多,机动性强,地面杂波强,虚警率高等问题,采用并设计了解速度模糊、点迹凝聚、航迹处理等算法,结合软件编程技术,对信号处理后的数据进行综合处理,经过雷达外场鉴定试验测试,数据处理使雷达的发现概率、虚警率、方位距离精度、速度分辨力等指标各提高了约十个百分点。     

用光漂白法制备有机聚合物波导光栅

本文研究了用光漂白的方法制备PMMA/DR1聚合物波导光栅的技术 ,并从实验上研究了这种波导光栅对 10 64nm光TE模和TM模的一级衍射效率与光漂白时间的关系。     

基于GUI的数字电源补偿器的设计

为了设计基于Si8250的数字电源补偿器,本文采用该芯片专有的GUI图形仿真软件,对功率级主电路的开环模型进行了仿真,生成了幅频和相频特性曲线。结合Venable补偿理论与GUI中的控制环路模型及图形化补偿方式,设计了精确的数字PID补偿器。试验表明,通过GUI设计的数字补偿器具有很好的环路动态特性和稳定性。     

智能车载终端数据处理的优化设计

通过分析传统的GPS和车辆航位推算导航系统定位方法的不足,提出使用GPS/DR组合导航技术来获取定位数据,并使用一种新的数据融合方法优化定位数据,通过CDMA 1X无线数据网络改善传输方式.经过实验验证,此优化方案为车辆的实时监控提供了稳定可靠的实时数据传输,提高了ITS系统的性能.     

粒子滤波方法在GPS/DR组合导航系统中的应用

成功地将粒子滤波方法应用干GPS／DR组合导航系统中。如果GPS信号受到干扰或者车辆做大幅度机动时，卡尔曼滤波会有较大的误差。粒子滤波不仅考虑了客观样本信息，还考虑了主观因素，能很好地处理这种观测样本出现异常的情况，具有鲁棒性。实验证明，当GPS信号被遮挡时，粒子滤波优于卡尔曼滤波。     

Modified RHKF Filter for Improved DR/GPS Navigation against Uncertain Model Dynamics

In this paper, an error compensation technique for a dead reckoning (DR) system using a magnetic compass module is proposed. The magnetic compass‐based azimuth may include a bias that varies with location due to the surrounding magnetic sources. In this paper, the DR system is integrated with a Global Positioning System (GPS) receiver using a finite impulse response (FIR) filter to reduce errors. This filter can estimate the varying bias more effectively than the conventional Kalman filter, which has an infinite impulse response structure. Moreover, the conventional receding horizon Kalman FIR (RHKF) filter is modified for application in nonlinear systems and to compensate the drawbacks of the RHKF filter. The modified RHKF filter is a novel RHKF filter scheme for nonlinear dynamics. The inverse covariance form of the linearized Kalman filter is combined with a receding horizon FIR strategy. This filter is then combined with an extended Kalman filter to enhance the convergence characteristics of the FIR filter. Also, the receding interval is extended to reduce the computational burden. The performance of the proposed DR/GPS integrated system using the modified RHKF filter is evaluated through simulation.