| ID | 原文 | 译文 |
| 6484 | 针对微小型无人机的特点,提出了采用双极化天线结合空频编码的多收发(multiple-input multipleoutput,MIMO)技术提高数据链抗衰落能力的方法。 | According to the characteristics of the micro small unmanned aerial vehicle (uav), proposed by dual polarized antenna combination of space-frequency coding more transceiver (multiple - input multipleoutput, MIMO) technology to improve data link fading resistance method. |
| 6485 | 该方法在空域上借助双极化天线进行空域分集,在频域上利用正交频分复用(orthogonal frequency division multiplexing,OFDM)的多载波的频谱特点实现频域分集; | The method with the help of a dual polarized antenna in the airspace for spatial diversity in frequency domain by using orthogonal frequency division multiplexing (orthogonal frequency division multiplexing, OFDM) multiple carrier frequency spectrum characteristics to realize frequency diversity; |
| 6486 | 同时给出了双极化全向天线的工程化设计方法。 | At the same time gives the engineering design method of double polarization antennas. |
| 6487 | 仿真结果表明,相比与单发单收(single-input single-output,SISO)的传统数据链体制,该方法可以有效地增强通信系统的抗多径能力,并且在高速条件下具有比空时分组编码(space time block code,STBC)更优越的分集效果,可以提高微小型无人机在低仰角下的抗衰落性能。 | Simulation results show that compared with single single receiving (single - input single output, SISO) of the traditional data link system, the method can effectively enhance the ability of anti-multipath communication system and under the condition of high speed than space-time block coding (space time block code, STBC) superior diversity effect, can improve the micro small unmanned aircraft at low elevation fading resistance. |
| 6488 | 在无人机的高速数据传输领域有着广阔的工程应用前景。 | in high speed data transmission areas of unmanned aerial vehicle (uav) has a wide prospect of engineering application. |
| 6489 | 在频谱感知中为了解决不同信誉用户网络节点之间的数据融合问题,提出了一种基于强化学习和共识融合的分布式协作频谱感知方法。 | In spectrum sensing in order to solve the different credit user data fusion problem between the network nodes, this paper proposes a consensus based on reinforcement learning and integration of distributed collaborative spectrum sensing method. |
| 6490 | 该方法将每个感知用户认为是一个智能体(agent)。 | This method will each user perception as a agent (agent). |
| 6491 | agent通过强化学习算法从相邻节点选择合作用户进行共识融合,采用信誉值作为奖励,确保agent倾向于信誉高的节点进行融合,并同时降低恶意用户的信誉值,使其逐渐退出感知网络。 | The agent cooperation through reinforcement learning algorithm from the adjacent nodes selection user for consensus fusion, using XinYuZhi as a bonus, to ensure that the agent tend to high reputation node fusion, and at the same time reduce the malicious user XinYuZhi, make its gradually withdrew from the sensing network. |
| 6492 | 最后采用一致性融合方法使整个网络达成共识,并与判决门限对比,完成协作频谱感知。 | Finally consistency fusion method is applied to the entire network consensus, and compared with the decision threshold, to complete the collaborative spectrum sensing. |
| 6493 | 仿真实验表明,该方法能够有效的识别恶意用户,并通过强化学习提高整个网络的感知性能,使协作频谱感知网络更具智能性和稳定性。 | Simulation experiments show that this method can effectively identify the malicious user, and improve the whole network by reinforcement learning cognitive performance, make the collaborative spectrum sensing network more intelligent and stability. |