ID	原文	译文
6984	馈电网络采用不等功分和多节阻抗匹配设计,可抑制天线阵副瓣并展宽带宽。	Feed network adopts the different work points section and impedance matching design, inhibits antenna sidelobe and broadening the bandwidth.
6985	对天线进行了实物加工和测试,结果表明在3.8。	Antenna for the physical processing and testing, the results show that in 3.8.
6986	考虑到最大特征值具有较优的信号检测能力,将基于信息几何的矩阵恒虚警率检测方法与最大特征值相结合,提出了基于最大特征值的改进中值矩阵恒虚警率检测方法。	Considering the largest eigenvalue has the optimal signal detection ability, will be based on the information geometry matrix constant false alarm rate detection method combined with maximum eigenvalue, is presented based on the maximum characteristic value of improved matrix constant false alarm rate detection method.
6987	利用矩阵流形上不同的几何测度估计杂波的中值矩阵;	Estimated based on the geometric measurement of the matrix are considered on different clutter median matrix;
6988	采用协方差矩阵的最大特征值作为检测统计量,将最大特征值与不同的中值矩阵估计值相结合得到6种改进的中值矩阵检测方法。	Using the largest eigenvalue of covariance matrix as test statistics, the maximum characteristic value with the estimated value matrix in different combination of get value matrix in 6 kinds of improved detection methods.
6989	通过复杂度分析和基于仿真数据和实测数据的仿真实验验证了改进算法的有效性。	By complexity analysis and based on the simulation data and the measured data of the simulation results verify the effectiveness of the improved algorithm.
6990	针对海上多舰协同防空部署优化问题,在已知敌方进攻态势和我方防御能力的条件下,综合分析各项影响攻防效果的因素,结合不可逃逸区,综合设计了多舰协同防空部署的性能指标。	Many ships on the sea air defence deployment optimization problem together, in a known enemy offensive and defensive ability under the condition of our, comprehensive analysis of various factors that influence the effect of offensive and defensive combination cannot escape area, the comprehensive design multiple-vessel collaborative performance of the air defence deployment.
6991	本文给出了多弹群体进攻下海上多舰协同防空部署的问题描述,并采用了共生有机搜索算法(symbiosis organisms search,SOS)对该问题进行优化求解得出最优部署方案。	Offensive play groups are given in this paper under the sea multiple-vessel collaborative problem description of the air defense deployment, and adopted the symbiotic organic search algorithm (symbiosis organisms search, SOS) to optimize the problem solving optimal deployment plan.
6992	共生有机搜索算法通过模拟共生、共栖和寄生3种生物间的生存关系对协同防空部署的问题进行优化。	Organic search algorithm by simulating symbiosis, symbiosis symbiotic and parasitic the survival of the relationship between three kinds of biological optimize the coordination problem of air defence deployment.
6993	在该类具有约束的非线性优化问题中,SOS算法相较于粒子群算法不易陷入局部最优,能够求解得到更优解,收敛速度相比提高近10%。	In this kind of nonlinear optimization problem with constraints, SOS algorithm compared with particle swarm optimization (pso) algorithm is not easy to fall into local optimum, can get more optimal solution, to solve the convergence rate compared to nearly 10%.