ID 原文 译文
11354 最后充分利用干扰机编队的航线信息,提出以"电子对抗环境下雷达网判决中心对不同航线段内突防编队的联合检测概率下降程度的加权积分"为干扰效果评估函数,建立干扰机编队对雷达网的多样式干扰效果评估模型。 ‭Finally make full use of the jammer formation routes of information, puts forward to "electronic confrontation radar network under the environment of ruling penetration formation in the center of different routes of the weighted integral of the joint detection probability loss" as the jamming effect evaluation function, establish a jammer formation material of the jamming effect evaluation model of radar net.
11355 仿真结果表明,该模型在雷达网干扰效果评估问题上具有很好的应用性,对合理分配干扰资源、提高干扰机编队的整体干扰效果也有一定的指导意义。 ‭Simulation results show that the jamming effectiveness evaluation in radar net model has good applicability, interference to allocate resources, to enhance the overall interference effect of the jammer formation also has certain guiding significance. ‭
11356 弹道多目标分离对弹道导弹早期预警和识别具有重大意义。 Ballistic multi-objective separation on ballistic missile early warning and identification is of great significance.
11357 目前弹道目标微动提取与识别的研究都是基于"单目标多散射点"和"多目标单散射点"的假设,而对实际中弹道"多目标多散射点"的情况缺乏考虑。 Current research ballistic micro extraction and target recognition is based on "single target scattering point" and "multi-objective single scattering point" assumption, and in the actual ballistic "multiple target scattering point" the lack of consideration.
11358 针对这一问题,首先分析了进动锥体弹头和摆动锥体诱饵的微多普勒形式,得到了同一目标不同散射点的微多普勒具有相同的周期性。 In order to solve this problem, firstly analyzes the precession cone cone warhead and rocking bait form of micro-doppler, got the same target different scattering point of micro-doppler with the same periodicity.
11359 对于多目标分离问题,首先利用Radon变换估计平动参数实现了多目标平动补偿; To the problem of multi-objective separation first Radon transform is used to estimate the translational parameters to realize the multi-objective translational compensation;
11360 之后通过分析多目标时频图循环平稳性,发现弹道多目标分离本质上是多个二维一阶循环平稳(first-order cyclostationary,FOCS)分量的分离问题; By analyzing multi-objective time-frequency diagram after cycle stability, found that multi-objective separation is essentially multiple ballistic two-dimensional first-order loop smoothly (first - order cyclostationary, FOCS) component separation problems;
11361 其次,提出了一种基于二维FOCS处理的多目标分离方法; Secondly, this paper proposes a multi-objective separation method based on two-dimensional FOCS processing;
11362 最后,通过仿真验证了该方法的有效性和在强噪声下的稳定性。 Finally, the effectiveness of the proposed method is validated by computer simulation and stability under the condition of strong noise.
11363 针对传感器网络(sensor network,SN)目标融合检测应用中融合中心无法精确地获得局部传感器节点检测性能参数的问题。 (in wireless sensor network sensor network, SN) target fusion detection application in fusion center can not accurately obtain local sensor node detection performance parameters of the problem.