ID	原文	译文
8424	仿真结果表明,在一定阵元子集大小和跟踪目标个数的范围内,该算法能够获得良好的选取性能,并大大降低系统计算量。	Simulation results show that under certain array yuan subset, within the scope of the size and the number of tracking target selection of the algorithm can obtain good performance, and greatly reduce the amount of calculation.
8425	为实现有限脉冲快速逆合成孔径雷达(inverse synthetic aperture radar,ISAR)稀疏成像,利用ISAR目标块状结构特征,提出一种基于多量测向量(multiple measurement vectors,MMV)模型的块稀疏信号重构ISAR成像算法。	For the realization of the finite pulse fast inverse synthetic aperture radar (inverse synthetic aperture radar, ISAR) imaging, sparse use of ISAR target block structure characteristics, puts forward a direction finding based on volume quantity (multiple measurement vectors, MMV) piece of sparse signal reconstructing ISAR imaging algorithm of the model.
8426	首先,构建MMV稀疏成像模型,将ISAR成像转化为MMV块L0范数的稀疏重构问题。	First, build the MMV sparse imaging model, converting the ISAR imaging to MMV piece L0 norm of sparse reconstruction problem.
8427	其次,选用负指数函数序列作为平滑函数去近似块L0范数,通过构建一个递减的参数序列,对平滑函数优化求解,采用梯度投影方法将所求解投影到可行解空间。	Second, the negative exponential function sequence chosen as the smoothing function to approximate piece L0 norm, by building a regressive sequence parameters, the smoothing function optimization solution, by using gradient projection method will solve the projection to the feasible solution space.
8428	最后,增加修正步骤,确保沿着最速下降方向对块稀疏信号优化求解。	Finally, increase the correction step, ensure that along the steepest descent direction of the block sparse signal optimization solution.
8429	仿真结果验证了本文算法在成像时间和成像质量方面具有优势。	The simulation results verify the algorithm in this paper has advantages in terms of imaging time and image quality.
8430	针对指挥控制组织设计中决策实体的配置问题,提出了在知识约束条件下该问题的数学模型及其求解方法。	For command and control organization decision-making entities in the design of configuration problems, put forward under the condition of knowledge constraint mathematical model and its solution to the problem.
8431	分析了该问题的约束条件,包括该问题的知识约束、隶属约束、能力属性约束等,建立了以最小化决策实体工作负载均方根为目标的优化模型,提出了基于遗传算法的模型求解算法,设计了针对问题模型的染色体编码方式、适应度函数以及遗传算子。	Analysis of the problems of the constraint conditions, including the problem of knowledge constraint, under constraint, attributes, constraints, etc., was established to minimize the workload among decision-making entities RMS for the target of optimization model, model solving algorithm is proposed based on genetic algorithm, the model is given for problem of chromosome coding method, fitness function and genetic operators.
8432	最后结合联合作战仿真算例中一个任务与平台关系的设计方案,验证了所提方法的可行性和稳定性。	The combination of joint operations simulation example of a task relationships with platform design, verify the feasibility of the proposed method and stability.
8433	针对相控阵雷达中的任务调度问题,提出一种融合了粒子群算法、遗传算法和启发式交错调度算法的混合算法。	For the task scheduling problem in phased array radar, a blend of the particle swarm algorithm, genetic algorithm and heuristic scheduling algorithm of the hybrid algorithm.