基于AUTOCAD2006的法兰动态块设计

阐述法兰动态块的创建过程,方便设计者使用,提高绘图效率,减少块图形库的创建工作量,便于管理和控制。     

Turbo码块同步参数优化设计

在信道码码块同步技术研究的基础上,针对CCSDS(空间数据系统咨询委员会)建议规定的Turbo码,为不同码块长度、不同编码效率的Turbo码设计一组最佳同步参数,以最优化平均入锁时间和数据有效率。利用理论推导出的解析公式,计算不同参数下的平均入锁时间和数据有效率,从而优选出最佳同步参数,并归纳总结最佳同步参数的特点。本文得到的同步参数可为实际工程提供参考。     

一种基于视频序列的运动目标检测方法

文章提出了利用帧差分法和背景差分法结合块匹配对运动目标进行检测的方法,该方法实现简单、速度快。块匹配方法的引入有效地抑制了光照变化和背景扰动的影响,提高了整个系统的自适应性。实验证明,该方法能够满足运动目标的实时检测要求。     

Depeaking – economic optimization of air traffic systems

More than half of all flights in and out of Frankfurt International Airport are conducted by Lufthansa airlines, as it is one of their two major hubs. The so called hub and spokes systems allow airlines to bundle major passenger flows via connecting flights across the in- and outbound traffic. The reliability of these transfer connections, and specifically the arrival punctuality at the hub airports are crucial to the economics of the daily operation.Since Frankfurt International Airport has lately been one of the most congested airports in Europe, delays (in particular arrival delays) have increased quite significantly throughout the last years. To compensate for additional queueing time in the arrival processes, the scheduled block times inbound Frankfurt were continuously adjusted upwardly keeping the arrival punctuality (and thereby the connection reliability) close to stable. The two disadvantages of this approach have been the decrease in aircraft productivity and over-deliveries in peak hours, which in turn induce either additional block time delay or ground delay programs inbound Frankfurt.This paper introduces an iterative stochastic-simulation approach that models the vicious circle of lengthening block times and increased over-deliveries. In a second step it quantifies the operational and economical effects of depeaking the schedule and illustrates the overall growth potentials for the depeaked operation of the airport. The schedule was successfully implemented in Frankfurt in summer 2004.     

改进的发射机固定双基SAR频域成像算法

首先建立了发射机固定、接收机工作在三种模式下(条带、聚束、滑动聚束)的一站固定式双基SAR回波信号模型,给出了回波模拟方法并总结了该类双基SAR的成像特点,然后对基于RD域分块的二维频域成像算法做了改进,在没有明显增加计算量的情况下,提出一种基于距离标度插值的方法,解决了残余相位补偿中出现的畸变问题,详细论证了一次分块处理所存在的问题,并提出采用两次分块处理的方法对算法进行完善,最后通过大场景点阵目标仿真实验,验证了本文方法的正确性和处理宽测绘带数据的可行性。     

三重混合范数的L型嵌套阵列二维角度估计

针对L型嵌套阵列二维角度估计问题,提出一种三重混合范数块稀疏重构算法。首先,建立一种俯仰角和方位角可分离的二维稀疏测向模型,将两个维度采样点分块,分别计算联合协方差矩阵,二维角度估计问题被转化为联合协方差矩阵稀疏优化问题;为减小计算复杂度,建立三重混合范数块稀疏重构模型,利用交叉迭代的方法得到稀疏解,实现了二维角度估计,并且可以自动配对。仿真试验表明,三重混合范数稀疏重构算法能够有效估计多个辐射源的二维角度,分辨率较高,并且具有一定的鲁棒性。与传统算法相比,在低信噪比和小快拍数的条件下,均优于传统二维角度估计算法。     

Vector quantization for saturated SAR raw data compression

Spaceborne SAR involves the storage and transmission of large-size sampling data. Block adaptive quantization (BAQ) is now the most widely used onboard data compression algorithm due to its good tradeoff between system performance and complexity. However, when spaceborne SAR raw data is saturated, the performance of conventional BAQ deteriorates dramatically because its precondition of Gaussian distribution of raw data no longer holds. In order to solve this problem, an improved vector quantization (VQ) algorithm is proposed. This algorithm firstly introduces saturation modification to a conventional vector quantizer, obtains the saturation codebook based on Gaussian density function, and then obtains the new vector quantizer for the whole set of Saturation Degree (SD). This algorithm makes the vector quantizer match statistical model of data for the whole set of SD, so the performance of the compression is improved. The case of the 2D signal is explicitly computed. The performance of the proposed algorithm is verified by simulated and real data experiments.     

火箭冲压发动机掺混流场数值方法研究

鉴于火箭冲压发动机补燃室内呈现出复杂的三维化学反应流,传统方法对这一流场的数值分析所遇到的主要困难是求解椭圆型Ｎ－Ｓ方程组极为耗时而不利于工程应用,采用先进的块隐式法求解恒温掺混流场得到了很快的收敛速度,这一尝试为快速计算化学反应流打下了很好的基础。     

Energy-efficient data collection for UAV-assisted IoT: Joint trajectory and resource optimization

Internet of Things (IoT) can be conveniently deployed while empowering various applications, where the IoT nodes can form clusters to finish certain missions collectively. As energy-efficient operations are critical to prolong the lifetime of the energy-constrained IoT devices, the Unmanned Aerial Vehicle (UAV) can be dispatched to geographically approach the IoT clusters towards energy-efficient IoT transmissions. This paper intends to maximize the system energy efficiency by considering both the IoT transmission energy and UAV propulsion energy, where the UAV trajectory and IoT communication resources are jointly optimized. By applying large-system analysis and Dinkelbach method, the original fractional optimization is approximated and reformulated in the form of subtraction, and further a block coordinate descent framework is employed to update the UAV trajectory and IoT communication resources iteratively. Extensive simulation results are provided to corroborate the effectiveness of the proposed method.