基于自适应滤波的宽带阵列信号处理技术

自适应滤波是近30年以来发展起来的一种滤波方法。它是在维纳滤波、Kalman滤波等线性滤波基础上发展起来的一种最佳滤波方法。由于它具有更强的适应性和更优的滤波性能,因此在实际工程中,尤其在信息处理技术中得到了广泛的应用。这里将自适应滤波技术应用于电子对抗领域,解决电子战多通道宽带接收机之间的幅度、相位不一致性问题,并实现了基于自适应滤波的宽带波束形成方法。     

基于Hopkinson杆的高g值冲击传感器校准

介绍一种高g值冲击传感器灵敏度校准的Hopkinson杆技术,说明差动式光栅激光多普勒干涉冲击校准装置的原理,给出冲击加速度传感器灵敏度系数的两种标定公式,结果表明,该技术可进行加速度计之微分加速度的动态特性校准测试.     

高g值加速度传感器频率校准特性的研究

采用冲击比较校准的方法对高g值压电加速度传感器进行频率校准，将标准传感器的输出作为被校传感器的输入．被校传感器的输出作为输出，根据输入输出关系得到被校传感器的传递函数，进而得到传感器的频响特性。     

偏振傅里叶变换红外光谱仪定标研究

利用偏振傅里叶变换红外（FTIR）光谱仪测量目标红外偏振特性,需要对偏振FTIR光谱仪进行定标,计算出红外辐射目标的绝对光谱能量分布。利用黑体进行偏振FTIR光谱仪定标时,发现不同偏振检测方向的仪器响应有一定偏差,即仪器存在偏振敏感性。通过对仪器偏振特性的定标检测,得到仪器偏振响应函数和偏置特性曲线,应用定标结果,将会消除红外偏振仪器自身的偏振敏感性对目标偏振特性的影响,为提高目标的红外偏振探测精度打下基础。     

A programmable gain amplifier with a DC offset calibration loop for a directconversion WLAN transceiver

A high-linearity PGA(programmable gain amplifier) with a DC offset calibration loop is proposed.The PGA adopts a differential degeneration structure to vary voltage gain and uses the closed-loop structure including the input op-amps to enhance the linearity.A continuous time feedback based DC offset calibration loop is also designed to solve the DC offset problem.This PGA is fabricated by TSMC 0.13μm CMOS technology.The measurements show that the receiver PGA(RXPGA) provides a 64 dB gain range with a step of 1 dB,and the transmitter PGA(TXPGA) covers a 16 dB gain.The RXPGA consumes 18 mA and the TXPGA consumes 7 mA (I and Q path) under a 3.3 V supply.The bandwidth of the multi-stage PGA is higher than 20 MHz.In addition,the DCOC(DC offset cancellation) circuit shows 10 kHz of HPCF(high pass cutoff frequency) and the DCOC settling time is less than 0.45μs.     

光纤干涉测距仪中倍增光纤长度的自标定

介绍了一种利用半导体激光器作光源 ,在光纤干涉测距中标定光纤光程差的自标定方法。它不需要借用外界仪器 ,仅利用自身的测量系统就可以精确地标定两组光纤的光程差。将标定结果引入测量系统 ,就可以实现测量系统的量程倍增 ,从而实现无长导轨的大距离、高精度测量。     

通道增益的有源估计方法

在DOA估计中解决通道不一致性问题的关键是设法求得各通道的复增益。本文利用在天线阵列所在平面设置的一个校正源，运用信号空间对信号DOA和通道增益的约束关系对通道增益进行估计，在未知校正信号DOA时可通过迭代的方法获得二者的一致估计。仿真证明了此方法的有效性。     

An efficient omnidirectional vision system for soccer robots: From calibration to object detection

Robotic soccer is nowadays a popular research domain in the area of multi-robot systems. In the context of RoboCup, the Middle Size League is one of the most challenging. This paper presents an efficient omnidirectional vision system for real-time object detection, developed for the robotic soccer team of the University of Aveiro, CAMBADA. The vision system is used to find the ball and white lines, which are used for self-localization, as well as to find the presence of obstacles. Algorithms for detecting these objects and also for calibrating most of the parameters of the vision system are presented in this paper. We also propose an efficient approach for detecting arbitrary FIFA balls, which is an important topic of research in the Middle Size League. The experimental results that we present show the effectiveness of our algorithms, both in terms of accuracy and processing time, as well as the results that the team has been achieving: 1st place in RoboCup 2008, 3rd place in 2009 and 1st place in the mandatory technical challenge in RoboCup 2009, where the robots have to play with an arbitrary standard FIFA ball.     

一种应用于直接变频系统的低功耗混合信号直流失调消除电路

A low power mixed signal DC offset calibration (DCOC) circuit for direct conversion receiver applications is designed. The proposed DCOC circuit features low power consumption, fast settling time and a small die area by avoiding the trade-off between loop response time and the high pass frequency of the DCOC servo loop in conventional analog DCOC systems. By applying the proposed DC offset correction circuitry, the output residue DC offset voltages are reduced to less than 38 mV and the DCOC loop settling time is less than 100 μs. The DCOC chip is fabricated in a standard 0.13-μm CMOS technology and drains only 196 μA from a 1.2-V power supply with its chip area of only 0.372 × 0.419 mm².     

CRT显示器色度校正的单参数模型

基于Gain-Offset-Gamma(GOG)模型,提出了CRT显示器色度校正的单参数(SP)模型。此模型表达简洁,计算简单,易编程实现。实验中分别采用SP模型和GOG模型测量了CRT显示器色度特性参数,并理论预测了CRT显示器屏幕色。实验结果表明,SP模型预测的阶调复现曲线(TRCs)比GOG模型更符合测量值;对于选用的CRT显示器屏幕色样,GOG模型预测值与测量值的最大色差ΔECIE94为1.57,平均色差为1.11,而SP模型的预测值与测量值的最大色差ΔECIE94为1.06,平均色差为0.618,比GOG模型预测有较小的色差。因此,SP模型将成为最简单、高精度的一种计算机控制CRT显示器颜色表述方法。