雷达动目标极化散射矩阵瞬时测量技术

研究了雷达运动目标的信息获取问题,提出了运动目标极化散射矩阵瞬时测量方法。雷达正交双极化天线同时发射正、负调频斜率线性调频信号,目标的正交双极化回波分别与2个线性调频信号进行匹配滤波,利用正、负斜率线性调频信号的模糊函数特性测量目标时延和多普勒频移,通过求解线性方程组消除极化-多普勒耦合,精确得到目标极化散射矩阵的4个元素。该方法可以在单个脉冲周期内同时获取目标的距离信息、速度信息和极化信息。仿真实验验证了该方法的有效性。     

无源雷达目标信号时延与多普勒频率联合估计

提出一种基于STFRFT的无源雷达目标时延与多普勒联合估计新方法。首先,给出了一种STFRFT时频分辨率量化方法及其数学表达式;其次,利用STFRFT的投影包络对回波信号时延与Doppler频移进行了联合估计;最后,讨论分析了脉内信噪比、高斯窗参数等对所提方法估计性能的影响。仿真结果表明,与CAF方法相比,所提方法更容易获得高精度的时延与Doppler频移的联合估计,具有更高的可靠性。     

基于混合编程的高精度激光多普勒信号处理技术

针对激光多普勒信号中存在较大噪声干扰的实际情况,为了抑制这些噪声干扰,提高激光多普勒测速仪的测量精度,提出了对激光多普勒信号进行最小均方差(LMS)自适应滤波后作快速傅里叶变换(FFT),基于混合编程思想对所得到的频谱,先进行频谱细化,再进行频谱校正的信号处理方法,并对理想正弦信号和实测多普勒信号分别进行仿真计算和实验研究。仿真和实验结果表明：LMS自适应滤波技术可以有效抑制激光多普勒测量中的多频率噪声的干扰,此技术能够适应于很宽的信噪比范围,大大提高多普勒信号的信噪比;频谱细化技术可以提高激光多普勒信号的频谱分辨率,频谱校正技术可以准确地校正多普勒频率,使校正后的频率更加接近于真实值;信号处理精度比直接进行FFT提高2~3倍。     

A NEW METHOD OF DOPPLER CENTROID ESTIMATION FOR SPACEBORNE SAR-AMPLITUDE CORRELATION METHOD

The linear relationship between Doppler centroid and range walking in spaceborne SAR data is analyzed, and a new method to estimate Doppler centroid is proposed, which is so called amplitude correlation method. Compared with clutter-lock method which is widely used now, the new method has much less computation burden and is able to give higher estimation accuracy for a quasi-homogeneous scene or a non-homogeneous scene. This is clearly verified by the experimental results of estimating Doppler centroid for SEASAT-A raw data.     

不确定退化测量数据下的剩余寿命估计

剩余寿命估计是工程系统预测与健康管理的关键.目前,基于观测的系统退化数据进行剩余寿命估计得到了很大的关注.由于系统随机退化过程和测量误差的影响,测量数据中不可避免包含退化随机性和测量不确定性.然而,现有基于观测数据的剩余寿命估计研究中,没有将退化随机性和测量不确定性对估计的剩余寿命分布的影响同时考虑.鉴于此,提出了一种基于Wiener过程且同时考虑随机退化和不确定测量的退化建模方法,利用Kalman滤波技术,实现了潜在退化状态的实时估计.在退化状态估计的基础上,得到了同时考虑退化状态不确定性和测量不确定性的解析剩余寿命分布.此外,提出了一种基于极大似然方法的退化模型参数估计方法.最后,通过陀螺仪的退化测量数据验证了本文提出的方法优于不考虑测量不确定性的方法,可以提高剩余寿命估计的准确性.     

一种应用于全印制电子沉铜催化浆料制备及其应用

制备出一种应用于全印制电子沉铜催化浆料,采用电化学工作站的开路电位-时间(OCP-t)的技术,测定活化浆料引发沉铜的Emix-t曲线,比较不同含银量对引发过程的影响;在此基础上,应用于制造电子标签(RFID)。结果表明:随银含量增大,缓慢生成铜活性中心的诱导时间越短,活性越高;沉铜催化浆料及其对应的工艺加成法制作的电子标签导电性和结合力符合工业化要求,可以作为一种全印制电子技术来推广应用。     

Magneto-transport characterization using quantitative mobility-spectrum analysis

A quantitative mobility spectrum analysis (QMSA) of experimental Hall and resistivity data as a function of magnetic field is presented. This technique enables the conductivity contribution of bulk majority carriers to be separated from that of other species such as thermally generated minority carriers, electrons, and holes populating n and p doped regions, respectively, and two-dimensional species at surfaces and interface layers. Starting with a suitable first trial function such as the Beck and Anderson mobility spectrum analysis (MSA), a variation on the iterative procedure of Dziuba and Gorska is used to obtain a mobility spectrum which enables the various carrier species present in the sample to be identified. The QMSA algorithm combines the fully automated execution and visually meaningful output format of MSA with the quantitative accuracy of the conventional least-squares multi-carrier fitting procedure. Examples of applications to HgCdTe infrared detector materials and InAs/GaSb quantum wells are discussed. The ultimate goal of this paper is to provide an automated, universal algorithm which may be used routinely in the analysis and interpretation of magneto-transport data for diverse semiconductor materials and bandgap engineered structures.     

BER Performance of Frequency Domain Differential Demodulation OFDM in Flat Fading Channel

A closed form expression for the bit error rate (BER) performance of frequency domaindifferential demodulation(FDDD) for orthogonal frequency division multiplexing system in flat fadingchannel is derived.The performance is evaluated by computer simulation and compared with the timedomain differential demodulation(TDDD).The results indicate that the performance of FDDD is betterthan that of TDDD,and the lower band of BER in the former is lower than that of the latter.     

基于循环前缀的LTE系统多普勒频偏估计算法

针对时变瑞利信道给出一种用于LTE系统中的多普勒频偏估计方法。基于OFDM符号固有的循环前缀,利用相位的变化,可以较快较准确地估计多普勒频移。另外,还提出相位估计长度概念,并得到一种减小误差的误差修正方法,使得算法估计更准确,处理复杂度更低。     

基于谱线平移的低信噪比高动态信号多普勒频偏捕获算法

针对低信噪比高动态信号的载波频偏捕获提出了一种新的算法即谱线平移算法.首先,介绍了现有的大载波频偏捕获技术,分析了其不能适应高动态信号捕获的原因;其次,分析了载波频偏及其变化率对载波频偏捕获的影响,主要考虑多普勒频移变化率对信号捕获的影响,它将严重限制低信噪比情况下对载波频偏估计时非相干累加的次数,在此基础上,提出并研究了适应低信噪比高动态信号大载波频偏捕获的谱线平移算法,并对算法进行了性能仿真,表明其具有2 ～3dB的改善增益,与最大似然算法相比具有绝对优势.