| ID | 原文 | 译文 |
| 11984 | 分析了最小均方误差准则频域均衡与单符号最小均方频域均衡对宽带差分跳频通信系统的不适用性。 | Analyzes the rule of minimum mean square error frequency domain equalization and single symbols minimum mean Fang Pin domain equalization for broadband differential frequency hopping communication system applicability. |
| 11985 | 从而提出适用于差分跳频通信系统的多跳联合最小均方频域均衡算法,给出了算法详细的设计过程和结构。 | Thus put forward is applicable to the differential frequency hopping communication system of multiple hops joint minimum mean Fang Pin domain equalization algorithm, and gives the algorithm of the detailed design process and structure. |
| 11986 | 对算法性能在频率选择性衰落信道条件下进行仿真评估。 | On the algorithm performance under the condition of frequency selective fading channel simulation evaluation. |
| 11987 | 结果表明本算法对差分跳频通信系统的信道均衡性能具有显著的作用,能提高差分跳频系统的解调误码性能。 | The results show that the algorithm of differential frequency hopping communication system of equalization performance have significant effect, can improve the demodulation error performance of differential frequency hopping system. |
| 11988 | 在并行拓扑结构下,从系统级的角度对多传感器网络目标检测方法进行综述。 | Under the parallel topological structure, from the Angle of system level multi-sensor network target detection methods were reviewed. |
| 11989 | 将似然比检测归纳分类为统计量(决策统计量和融合统计量)的确定和门限(决策门限和融合门限)的求解两部分,并分别展开论述。 | The likelihood ratio detection inductive classification for statistics (decision statistic and fusion statistic) and to determine the threshold (decision threshold and fusion threshold) solution of the two parts, respectively. |
| 11990 | 在硬决策融合系统统计量确定方面,分别归纳了理想信道、非理想信道条件下,不同融合统计量构成检测器的检测性能优劣,并通过仿真试验对比分析了不同融合统计量的检测性能; | In terms of hard decision fusion system statistics to determine, summarizes the ideal channel respectively, non ideal channel conditions, different fusion statistics to form the detection performance of detector, and through the simulation test of statistic analysis of the different fusion detection performance; |
| 11991 | 在软决策融合系统统计量确定方面,归纳了软决策融合系统中局部传感器节点性能度量方式,并对比分析了局部传感器节点决策空间划分方法; | In soft decision fusion system statistics to determine local sensor nodes in the soft decision fusion system of performance measurement, and analysis of the local sensor node decision space partition method; |
| 11992 | 在门限求解方面,将门限求解方法归纳总结为逼近法、迭代法、蒙特卡罗方法,并分析比较这些方法的适用范围、优缺点等; | Threshold for solving ways, the threshold method summarized for approximation method, iterative method, monte carlo method, and analyzed the applicable scope, advantages and disadvantages of these methods, etc. ; |
| 11993 | 最后,对多传感器网络目标检测进行了展望。 | Finally, the multisensor network target detection is discussed. |