ID 原文 译文
26215 本文的构造方法可分别对阵列的行列进行移位，能够获得具有不同参数形式的二维四元零相关区周期互补阵列集。 In this paper, the structure of the method can be respectively to shift of the ranks of the array, can get different parameters in the form of two-dimensional periodic complementary array four yuan zero correlation zone (set.
26216 同时行(列)方向上的零相关区长度可以灵活设置，从而能获得不同的移位序列集，构造出多个二维四元零相关区周期互补阵列集。 And row (column) in the direction of zero correlation zone length can be set flexibly, and thus can obtain different set of shift sequences, constructing multiple two-dimensional periodic complementary array four yuan zero correlation zone (set.
26217 构造结果表明，本文方法可有效地增加工程应用所需的阵列信号。 Construction results show that the method can effectively increase the array signal for the engineering application.
26218 通过模拟人类对不确定性信息的描述和融合，提出了一种新的灰数描述方法，定义了灰概率测度集的概念及其交运算。 By simulating the human description, and fusion of uncertainty information, this paper proposes a new description method of grey number, defines the concept of grey probability measure set and its operation.
26219 灰概率测度集对"贫信息"及"外沿明确，内涵不明确"的不确定性问题进行描述； Grey probability measure of "poor information" and "not clear, the outer connotation clear" the uncertainty of the problems is described;
26220 交运算对灰概率测度集描述的不确定信息"内涵"逐渐丰富和准确的过程进行表达。 In operation of grey probability measure set to describe uncertainty information "connotation" is gradually enriched and accurate process.
26221 通过自助式移动机器人拓扑定位的实例，检验了灰概率测度集在模拟人类智能对不确定信息的表达和推理中的有效性。 Through the instance of topology self-service mobile robot localization and examine the grey probability measure set in the simulation human intelligence to effectiveness of uncertain information expression and reasoning.
26222 针对螺旋应召搜索方法理论上可行但实际上无法实现的问题，提出了基于改进的粒子群优化(parti-cle swarm optimization，PSO)算法的无人水下航行器(unmanned underwater vehicle，UUV)编队协同最优扩方应召搜索水下匀速直线运动目标的方法。 For spiral call search method theoretically possible, but not impossible to achieve is proposed based on improved particle swarm optimization (parti - cle swarm optimization, PSO) algorithm of unmanned underwater vehicles (unmanned underwater vehicle, UUV) formation coordinated optimal expansion party call to search the method of underwater target of uniform linear motion.
26223 首先，根据UUV的搜索宽度，建立了最优转向角模型，给出了采用改进的PSO算法的具体求解流程，并在此基础上继续探讨当目标速度未知情况下的搜索计划。 First of all, according to the search of UUV width, established the model of optimal steering Angle, using the improved PSO algorithm is given concrete solving process, and on this basis to continue to explore unknown cases when the target speed search program.
26224 然后，根据投放方式的不同，探讨了UUV编队的几种协同搜索方法。 And then, depending on the delivery way, discusses the UUV formation cooperative search methods.