Novel cued search strategy based on information gain for phased array radar

A search strategy based on the maximal information gain principle is presented for the cued search of phased array radars. First, the method for the determination of the cued search region, arrangement of beam positions, and the calculation of the prior probability distribution of each beam position is discussed. And then, two search algorithms based on information gain are proposed using Shannon entropy and Kullback-Leibler entropy, respectively. With the proposed strategy, the information gain of each beam position is predicted before the radar detection, and the observation is made in the beam position with the maximal information gain. Compared with the conventional method of sequential search and confirm search, simulation results show that the proposed search strategy can distinctly improve the search performance and save radar time resources with the same given detection probability.     

MCHOKeM algorithm with assured bandwidth allocation in DiffServ networks

An active queue management (AQM) algorithm called MCHOKeM is presented, which is borrowed from CHOKeW that draws multi-packets at random from the buffer, the multi-packets are compared with an arriving packet and abandoned if they are from the same flow. But MCHOKeM uses multiple virtual queues for different priority packets and enhances the drawing function by adjusting the maximum number of draws based on the current status of virtual queue length. The number of parameters that MCHOKeM needs to maintain is determined by the number of priority levels being supported by the router, which usually has a small limited value. In order to explain the features of MCHOKeM, an analytical model is used. A series of simulation tests to evaluate the performance are given.     

A new approach of available transfer capability incorporating wind generation

The approach of available transfer capability (denoted as ATC) incorporating wind generation has been paid very high attention since the development of wind generation. Based on the maximum function, this paper presents an ATC model. The characteristic of the new model is twofold. First, it considers wind turbines connected to power system and static security of power system simultaneously. Second, it is a system of semismooth equations and can be solved easily. By using the smoothing strategy, a smoothing Newton method is adopted for solving the proposed new ATC model. Numerical simulation results of the IEEE 30-bus and 118-bus system show that the new model and algorithm are feasible and effective. The impact of wind turbines connected to power system on ATC is also analyzed.     

求解约束优化问题的动量粒子群算法

为解决约束优化问题,提出使用双可行域吸引子策略改进动量粒子群算法。该算法只需初始种群中有一个粒子位于可行域内,随着搜索过程的进行,整个种群自动进入可行域内搜索。一方面,在搜索过程早期,由于可行域内粒子少,所有粒子移向相同的吸引子,整个种群迅速进入可行域内。另一方面,随着进入可行域粒子的增多,由于每个粒子使用距本身最近的可行域吸引子,较好地维持了种种群的多样性,避免早熟现象的发生,使算法具有较好的寻优性能。与国际上当前解决约束优化问题的粒子群算法在4个标准约束优化函数上测试比较,实验结果表明本算法取得的最优值要优于其它粒子群算法。

Abstract：

The strategy that two good positions in feasible region worked as attractors was incorporated into momentum particle swarm optimization algorithm in order to resolve constrained optimization problems. The resulting algorithm only requires that one of the initial particles is in the feasible region, and then all particles in the swam automatically move into the feasible region. On the one hand, in the early iterations few particles appear in the feasible region and hence all particles move toward the same attractors, so the particles soon enter into the feasible region. On the other hand, as the number of particles in the feasible region increases, each particle adopts the most near attractor so that each particle has different attractor. Therefore, the algorithm maintains the diversity of the population, alleviates the premature, and hence achieves good performance. The algorithm is compared with other particle swarm optimization algorithms on four benchmark functions. The experimental results show that the solution of the algorithm is better than that of others.     

体外电磁驱动的膀胱动力泵的建模与仿真

针对神经源性膀胱的辅助排尿问题,基于膀胱的结构和储排尿机制,提出了一种体外电磁驱动的膀胱动力泵。为了研究其排尿动力特性,运用电磁学理论,建立了该泵的电磁驱动单元数学模型,并进行了合理简化。在此基础上,建立了描述膀胱压和尿流率与电磁铁电流、气隙宽度及永磁体体积和数量等影响因素之间关系的数学模型。仿真和试验分析结果表明,膀胱压和尿流率与电磁铁电流成近似线性关系,调节电磁铁电流可调控膀胱压和尿流率。所建立的数学模型简单有效、使用方便,可为膀胱动力泵的特性分析和结构设计提供理论依据。

Abstract：

To solve the problem of assisting a neurogenic bladder micturating,a bladder power pump driven by an external electromagnet was proposed,according to the structure and micturating mechanism of human bladder.To investigate the micturition performance of the pump,the mathematic model of the electromagnetic drive in the pump was built using the theory of electromagnetics,and simplified reasonably.Based on the simplified model,the mathematic models that express the relations between the intravesical pressure and urine flow rate and the influence factors such as electromagnet current,air gap,permanent magnet volume and number,were also established.The simulation and experimental results show that the intravesical pressure and the urine flow rate are approximately proportional to the electromagnet current respectively and can be regulated by adjusting the electromagnet current.The established mathematic models are simple and practicable,which provide the theoretical basis for the performance analysis and structure design of the pump.     

SBA中PLM的研究与应用

以一种典型的产品生命周期管理(PLM)软件--SmarTeam为例,研究了基于仿真的采办(SBA)中PLM的应用.PLM用于管理SBA中的不同资源,共享产品数据.此外,从三个方面扩展了PLM:首先,使用PLM的开发接口和ActiveX技术将PLM与Matlab集成,使用户可以在PLM中浏览Matlab生成的控制系统文件;其次,使用PLM的工具以及PLM和MS Project的开发接口将PLM与Project集成,提高了PLM的项目管理功能;最后,使用PLM工具并设置SBA资源建立SBA权限控制模型,使PLM可以管理SBA系统的所有权限.PLM的应用及扩展使其可以更好的支撑SBA系统,同时解决了SBA复杂权限管理的问题.     

Analysis for MIMO correlated frequency-selective channel in the presence of interference

The space time spreading, superimposed training sequences, and space-time coding are used to present a multiple input and multiple output （MIMO） systems model, and a closed-form of average error probability upper bound expression for MIMO correlated frequency-selective channel in the presence of interference （co-channel interference and jamming signals） is derived. Moreover, the correlation at both ends of the wireless link that can be incorporated equivalently into correlation at the transmit end is also derived, which is significant to analyze space-time link algorithm of MIMO systems.     

变载频带通信号的多速率采样

对处于非整数带位的带通信号,一阶采样往往要引起频谱混迭。提出了一种用多抽样率技术实现欠采样的方法,借助于修正采样率,该方法较好地解决了可变载频带通信号的频谱混迭问题。还提出了用多抽样技术实现欠采样的三种方式     

雷达干扰效果模糊综合评估方法研究

运用模糊综合判别的思想 ,研究了雷达干扰效果的评估问题 ,建立了衡量干扰效果各因素的模糊评价模型 ,提出了一种新的基于模糊综合的干扰效果评估准则和度量方法。结合实例 ,在分析影响雷达干扰效果因素的基础上 ,应用这种方法做了初步评估 ,并对该评估方法做了简要分析     

基于改进BP神经网络的智能控制方法研究

针对典型BP神经网络存在的缺陷提出了一些有效的改进措施。通过采用改进的BP神经网络来对控制规则样本进行学习和训练 ,使网络记忆控制规则 ,以达到智能控制的目的。仿真和实验结果证明 ,该方法具有优良的控制特性 ,能满足伺服电机控制的需要。