| ID | 原文 | 译文 |
| 9474 | 对复杂防空作战环境下的传感器-目标分配(sensor target assignment,STA)问题进行了研究,建立了基于识别、跟踪、定位多阶段综合作战效能的分配模型。 | For complex sensor target assignment of air defense combat environment (sensor target the assignment, the STA) problems are studied, based on identification, tracking, positioning multistage comprehensive distribution model of operational effectiveness. |
| 9475 | 针对该模型,首先基于粒子群聚集度和进化度判断,对传统量子粒子群(quantum particle swarm optimization,QPSO)算法进行了改进,提出了自适应QPSO算法。 | According to this model, the first judgment based on particle swarm aggregation degree and evolution degree, the traditional quantum particle swarm (quantum particle swarm optimization, QPSO) algorithm is improved, adaptive QPSO algorithm is proposed. |
| 9476 | 然后,结合多粒子群协同和Memetic搜索策略,提出了基于协同Memetic自适应QPSO算法的STA求解方法。 | Then, combined with many particle swarm collaborative and Memetic search strategy, is proposed based on collaborative Memetic STA solving method of adaptive QPSO algorithm. |
| 9477 | 同时,为使粒子位置矢量反映分配方案,依据不同战场环境设计了两种特殊的粒子编码方案。 | At the same time, in order to make the particle position vector reflect distribution plans, depending on the battlefield environment of two kinds of special particle coding scheme is designed. |
| 9478 | 最后通过仿真实验验证了所提算法的有效性。 | Finally, simulation results verify the effectiveness of the proposed algorithm. |
| 9479 | 针对接收通道噪声影响和传感器引起的信号畸变,仅提高单传感器的识别性能远不能满足需求,提出了一种基于协作表示的雷达辐射源多传感器融合识别方法。 | For receiving signal distortion caused by channel noise effects and sensor, improve the recognition performance of single sensor only far cannot satisfy the demand, this paper proposes a radar emitter based on collaboration said multi-sensor fusion recognition method. |
| 9480 | 首先,在训练阶段构成离线的完备字典,而多个传感器的接收信号在字典上求得协作表示系数及分类残差。 | First of all, in the training phase, constitutes a complete offline dictionary and multiple sensors signals on the dictionary for cooperation said coefficient and the classification of residual error. |
| 9481 | 接着通过设计合理的基本概率分配函数,将多传感器的分类残差与单元素事件的D-S理论相结合,根据最大信任决策规则得到融合识别结果。 | Basic probability distribution function, and then through the reasonable design of the classification of multi-sensor residuals with single element event D - S theory, the combination of decision rules based on maximum trust fusion recognition results are obtained. |
| 9482 | 采用常见的6种雷达辐射源信号进行了仿真实验,仿真结果验证了提出方法的有效性,且较单传感器提高了识别性能,具有较好的噪声鲁棒性,适用于小样本的识别。 | The common six kinds of radar emitter signals is used for simulation, the simulation results verify the effectiveness of the proposed method, and a single sensor can improve the recognition performance and has good noise robustness, applicable to the identification of a small sample. |
| 9483 | 为解决空战训练命中评估中存在的评估语言不一致、专家权重未知、多专家集结等群决策问题,提出了仿真模拟、区间直觉模糊集、群决策相结合的方法。 | To solve the problem existing in the air combat training accuracy assessment of evaluation language does not agree, expert weight unknown, many experts gathered, such as group decision making problems, puts forward the simulation, the interval intuitionistic fuzzy sets, the combination of group decision making method. |