一种改进的前斜视SAR距离多普勒成像算法

根据大斜视角SAR成像的空间几何模型和回波信号特点,提出了一种改进的适用于前斜视场景的距离-多普勒成像算法;对补偿二维频域耦合相位项的条件进行了分析,分析表明只需根据设计参数决定是否补偿到三阶耦合相位即可,且不必补偿更高阶的耦合相位;对距离徙动的校正方法进行了研究,通过在频域直接对距离徙动进行校正可以避免使用传统的插值方法,有效减小了计算量,提高了算法的运算效率,有助于算法的实时性实现;对改进的距离-多普勒算法的仿真表明,其成像性能能够满足前斜视条件下SAR实时成像处理的要求。     

基于距离徙动轨迹的空间目标ISAR联合运动补偿算法

针对空间高速运动目标的运动特征,分析目标距离徙动轨迹（Range migration trajectory,RMT）与等效运动模型,提出了一种基于距离徙动轨迹的联合运动补偿算法。该算法依据距离像全局熵值最小化原则,从RMT中估计出目标的平动参数,根据平动参数分别补偿距离像偏移并校正一维距离像畸变,从而实现对空间目标回波的距离对齐和脉内走动的联合平动补偿。仿真和实测数据处理结果表明该算法准确性较高,更重要的是,距离对齐步骤不会引入随机偏移误差和相位误差,这也是应用高分辨成像方法的前提条件。     

弹载SAR俯冲段斜视成像算法

弹载SAR在俯冲段具有较大的下降速度和加速度,这使得距离徙动校正(Range cell migration correction,RCMC)变得困难,并且由于导弹在攻击目标前需要有一定的转弯机动时间,弹载SAR还往往工作在斜视模式下,此时常规的SAR成像算法不再适用.本文提出了一种弹载SAR俯冲段斜视成像算法,该方法在建立弹载SAR回波信号模型的基础上,首先在距离频域-方位时间域校正距离走动的主要部分,然后结合级数反演思想,推导出SAR回波信号的二维频域表达式,在距离频域-方位多普勒域进行剩余的距离走动和距离弯曲的校正,最后完成二维脉冲压缩,得到聚焦的图像.运算量的定量分析和实验仿真的结果验证了该算法的可行性和有效性.     

基于OpenMP的高效多子阵合成孔径声呐距离多普勒成像算法

为充分利用多核CPU计算资源解决多子阵合成孔径声纳成像效率低的问题,提出了一种共享内存环境下的距离多普勒成像算法并行解决方案。在分析多子阵合成孔径声纳距离多普勒成像算法并行性的基础上,对算法中预处理、距离向脉冲压缩、固定相位补偿、距离徙动校正和方位向脉冲压缩进行了OpenMP并行化设计,充分利用多核CPU计算资源实现了大数据量合成孔径声纳图像快速重构。对实测数据的成像实验结果表明,并行成像算法加速比高达19.86,满足实时合成孔径声纳系统成像需求。     

基于R-D算法的合成孔径声纳插值方法比较

合成孔径声纳（SAS）中由于基阵相对目标的运动导致回波空间产生了距离徙动,距离徙动的出现将会较大地影响最终声纳的成像质量,目前主要采用插值的方法进行矫正。该文基于SAS中的距离一多普勒（R—D）算法,讨论了距离徙动的成因及矫正思想,详细介绍了几种用于徙动矫正的经典插值方法,并给出了其在SAS成像中的应用表达式,对其性能进行了比较。最后对点目标进行了仿真成像,给出了矫正前后的目标图像,并对不同插值方法的成像质量及运算量进行了分析比较。分析结果表明,这几种插值方法都改善了成像的质量,但拉格朗日法和香农法在改善图像方位向性能上更有优势,可在实际中应用。     

异构环境下的多子阵合成孔径声呐距离多普勒成像算法

为解决多子阵合成孔径声纳成像效率低的问题,提出了一种异构环境下的多子阵合成孔径声纳快速成像方法。根据多子阵合成孔径声纳距离多普勒成像算法特点以及CPU和GPU各自计算特点,通过将算法中距离向脉冲压缩、固定相位补偿、距离徙动校正和方位向脉冲压缩密集型运算采用GPU计算,极大提高了多子阵合成孔径声纳成像效率。最后通过实测数据的成像实验对所提算法的正确性和高效性进行了验证,与串行计算方法相比加速比高达14.45。     

带距离徙动校正的压缩感知PFA成像方法

目的 极坐标格式算法（PFA）是合成孔径雷达（SAR）聚束模式下的一种高分辨率成像算法,方位向增加孔径长度带来了数据存储和传输的负担,利用压缩感知进行合成孔径雷达成像可以减小采样率,以前的研究往往认为图像是2维可分离的而忽略距离徙动的影响,造成了图像质量的下降。提出一种在方位向利用压缩感知处理的PFA成像算法,可以校正距离徙动,保证压缩感知成像的图像分辨率。方法 在方位向进行压缩感知处理的过程时,采用了随距离空间频率变化的傅里叶基。结果 该方法可以有效代替PFA处理过程中的方位向插值,消除距离徙动的影响,保证距离向和方位向的分辨率。结论 仿真和实测数据的处理结果证明了该方法的有效性。     

基于严格解析谱的多接收子阵合成孔径声呐CZT算法

针对多接收子阵合成孔径声呐(SAS)精确二维谱表达式复杂,从而只能应用于RD算法的问题,提出将严格解析谱的距离徙动近似为斜距变量的线性函数,然后利用Chirp-z变换校正距离徙动,并给出基于严格解析谱的多接收子阵SAS CZT算法.提出的基于严格解析谱的算法避免了插值操作,提高了算法效率与相位保真度,仿真实验表明,提出...     

基于FPGA的两点非均匀校正模块的设计与实现

两点校正算法是一种行之有效的红外图像非均匀校正方法.本文对两点校正算法进行了分析,并推导出了该算法的定点表示形式.利用FPGA在硬件上实现了该算法,内部采用流水线技术,校正系数存储在FPGA的片内存储器中并实现了盲元补偿.仿真和实验结果证明该设计是可行的,达到了预期效果。     

基于CORDIC算法的光相位检测及FPGA实现

基于交流相位跟踪零差补偿技术,采用CORDIC算法检测光相位变化,并在FPGA中设计了CORDIC算法实现的流水线结构,实现了对光相位变化的实时检测。同时,通过查找表和抛物线插值校正算法解决了CORDIC算法在运算中存在的"死区"问题,实现了光相位变化的高精度检测。实验表明,光相位的误差精度达到10-4。此方法具有实时性强和精度高的优点,适合大量数据的高速处理。     

Non-preemptive speed scaling

We consider the following offline variant of the speed scaling problem introduced by Yao et al. We are given a set of jobs and we have a variable-speed processor to process them. The higher the processor speed, the higher the energy consumption. Each job is associated with its own release time, deadline, and processing volume. The objective is to find a feasible schedule that minimizes the energy consumption. In contrast to Yao et al., no preemption of jobs is allowed. Unlike the preemptive version that is known to be in P, the non-preemptive version of speed scaling is strongly NP-hard. In this work, we present a constant factor approximation algorithm for it. The main technical idea is to transform the problem into the unrelated machine scheduling problem with $L_p$ -norm objective.     

基于图像识别的汽车车速和发动机转速测量

提出基于图像识别的车速和发动机转速的测量方法,并给出了在汽车驾驶机器人中的实际应用,讨论了图像识别的原理和具体处理方法。测量结果表明,本测量方法达到行车过程中驾驶员判读车速的准确度,具有重要的实用价值。     

Managing at light speed

Faced with the relentless pace of technological progress, businesses today need a blueprint for strategically implementing and exploiting new technologies. In The Innovator's Dilemma (Harvard Business School Press, 1997) Clayton M. Christensen sketches the broad outlines of this blueprint when he categorizes technology as either disruptive or sustaining. A disruptive technology is one that changes or replaces the accepted way of doing things. A sustaining technology, on the other hand, enhances an existing product or service by refining it or making its creation and delivery more efficient. Unfortunately, the larger and more successful a company grows, the more inimical its culture becomes to the flexibility and inventiveness that innovation requires. To achieve long-term success in today's business environment, managers must learn how to accommodate the very different requirements of disruptive and sustaining technologies     

Adjustable speed surface subdivision

We introduce a non-uniform subdivision algorithm that partitions the neighborhood of an extraordinary point in the ratio σ:1−σ, where σ(0,1). We call σ the speed of the non-uniform subdivision and verify C¹ continuity of the limit surface. For σ=1/2, the Catmull–Clark limit surface is recovered. Other speeds are useful to vary the relative width of the polynomial spline rings generated from extraordinary nodes.     

Adaptive automotive speed control

An adaptive algorithm for adjusting the gains of a vehicle speed control system is presented. By continuously adjusting the proportional-integral control gains, speed control performance can be optimized for each vehicle and operating condition. This helps the design of a single speed control module that does not need additional calibration or sacrifices in performance for certain car lines. It also allows improved performance for changing road conditions not possible with a fixed-gain control or other types of adaptive control. The results of initial vehicle testing confirm the performance improvements and robustness of the adaptive controller     

带超速提示和自动限速功能的车辆时速表设计

以单片机为核心,构成带超速提示功能的车辆时速表,不但能准确显示当前车速,还能在车辆发生超速时,及时向驾驶员给出提示,有效减少交通事故的发生。     

Modeling and speed control design of an ethanol engine for variable speed gensets

This paper presents the development of a discrete dynamic mean value engine model (MVEM) suitable for the design of speed controllers of ethanol fueled internal combustion engines (ICE), to be used in variable speed gensets. Two MVEMs are developed for the ICE: the Time Based model and the Crank Based model. The speed controller design is held through the discretization and linearization of the Crank Based MVEM. This model is used due to the advantages over the time based MVEM especially with respect to the transport delay which becomes constant. Two approaches for the ICE speed control are investigated: (i) a single loop gain-scheduled proportional integral (PI) controller and (ii) a dual loop control based on an internal gain-scheduled Manifold Absolute Pressure (MAP) feedback loop and an outer loop composed of a gain-scheduled PI controller. The control design is developed in the frequency domain and its stability is ensured by the phase and gain margins. In addition, an integral anti-windup and a feed forward action are also proposed to improve the behavior during control law saturation, improve transient responses and disturbance rejection capability. Experimental results on a 50 kW generator set are provided to validate the controllers and to demonstrate the performance of the system.