| ID | 原文 | 译文 |
| 6374 | 最后,对观测信号进行空域滤波,完成ADS-B的压制式干扰抑制,并对抑制结果进行性能分析。 | Finally, the observation signal spatial filtering, complete ads-b pressing type interference suppression, and the inhibition results to performance analysis. |
| 6375 | 提供的仿真实验结果也验证了算法的有效性,该方法不需要知道ADS-B信号来向,且在非高斯噪声情况下同样有效。 | Provided by the simulation results also verify the effectiveness of the algorithm, this method does not need to know to ads-b signals, and equally effective in non-gaussian noise situation. |
| 6376 | 针对指挥控制(command and control,C2)组织的平台资源动态调度问题,对战场上的突发事件进行了分析。 | For command and control (command and control, C2) organization platform for resources, dynamic scheduling on the contingency is analyzed. |
| 6377 | 针对平台损毁和任务增加两种突发事件,构建了以最大化任务完成质量和最小化计划调整代价为优化目标的数学模型,并基于非支配排序遗传算法设计了多目标优化模型的求解方法。 | In view of the platform are damaged and mission by two kinds of emergencies, built to maximize the completion quality and minimize plans to adjust the price in the mathematical model of the optimization goal, and based on non dominated sorting genetic algorithm method to design the solution of the multi-objective optimization model. |
| 6378 | 仿真实验表明,所构建的C2组织平台资源动态调度模型及求解方法能够有效应对战场上的突发事件,能够为决策者提供多个有效的平台资源动态调度方案。 | Simulation results show that the building of C2 organization platform resources dynamic scheduling model and algorithm can effectively cope with emergencies in the field, to provide more effective platform resource dynamic scheduling scheme. |
| 6379 | 现有基于Nyquist采样定理的直扩(direct sequence spread spectrum,DSSS)通信窄带干扰(narrowband interference,NBI)检测和参数估计方法存在应用受限于采样率较高的问题。 | Based on Nyquist sampling theorem of direct expansion (direct sequence spread spectrum, DSSS communication narrowband interference (narrowband interference, NBI) detection and parameter estimation method has the problem of application is limited by the sample rate is higher. |
| 6380 | 针对这一问题,将压缩感知(compressive sensing,CS)应用于DSSS通信NBI的检测和参数估计; | In order to solve this problem, the compressed sensing (compressive sensing, CS) is applied to the detection and parameter estimation of DSSS communication NBI; |
| 6381 | 根据DSSS信号与NBI的不同压缩域特性以及NBI在频域表现出的分块稀疏特性,利用块稀疏贝叶斯学习(block sparse Bayesian leaning,BSBL)框架获取干扰检测和参数估计的特征量; | according to the different compressed domain characteristics of DSSS signal and NBI and NBI in frequency domain block sparse feature, using the block sparse Bayesian learning (block sparse Bayesian leaning, BSBL) framework for the characteristics of interference detection and parameter estimation; |
| 6382 | 通过对特征量的检测和参数估计实现对NBI的检测和参数估计。 | based on the detection and parameter estimation of the characteristics of NBI detection and parameter estimation. |
| 6383 | 理论分析和仿真结果表明:所提方法能够在压缩采样条件下实现对DSSS通信中NBI的有效检测和参数估计,与传统方法相比具有显著优势。 | The theory analysis and simulation results show that the proposed method can be implemented under the condition of compressed sampling of NBI in DSSS communication effective detection and parameter estimation, compared with the traditional method has significant advantages. |