ID |
原文 |
译文 |
1023 |
最后在特征空间内以最小欧氏距离作为不相似度,采用集成分类器AdaBoost。 |
finally, taking the minimum Euclidean distance as thedissimilarity in the feature space, AdaBoost. |
1024 |
M2-KNN 完成了 5 类空间目标的分类识别。 |
M2-KNN, an ensemble classifier, is used to classify and recognize the five typesof space objects. |
1025 |
通过 5 类空间目标的 ISAR 数据对该方法进行目标识别验证,并与现有的几种 ISAR 像特征提取方法进行了对比。 |
The method is validated by the ISAR data of five types of space targets, and compared with several existing ISAR image feature extraction methods. |
1026 |
结果表明论文所提算法可行有效,可以明显地提高识别率。 |
The results show that the proposed algorithm is feasible and effective, and can sig-nificantly improve the recognition rate. |
1027 |
基于非正交多址接入( NOMA,Non-Orthogonal Multiple Access) 的认知无线电( CR,Cognitive Radio) 网络物理层传输面临主用户干扰和第三方窃听双重干扰威胁。 |
The physical layer transmission faces the interference from primary users and eavesdroppers in cognitiveradio networks based on non-orthogonal multiple access ( CR-NOMA) . |
1028 |
本文提出利用空时编码( STBC,Space Time Block Coding) 技术提高认知用户物理层安全性能,推导了任意认知用户的安全中断概率闭合表达式。 |
In this paper, Alamouti space-time block coded ( ST-BC) is utilized to improve the physical layer security transmission performance. The closed-form expressions for the security outage probability of all secondary users are derived. |
1029 |
通过蒙特卡洛仿真进行验证, |
We provide extensive Monte-Carlo simulation results to corroborate the analysis. |
1030 |
结果表明,所提 STBC-CR-NOMA 相比未采用 STBC 编码方案的 CR-NOMA 可以明显提高用户的安全中断概率, |
The results show that the security outage probability of stronger cognitive users is improved by the proposed STBC-NOMA-based CR compared with the traditional NOMA-based CR. |
1031 |
且随着认知发射功率的增大,近端用户安全中断性能提高越大,而远端用户安全中断性能提升受认知基站发射功率的影响较小。 |
Moreover, the security outage probability of the stronger cognitive users experiences performance enhancement with the increase of the cognitive transmission power, whilst the secur-ity outage probability of weaker cognitive users will be less impacted by the transmission power. |
1032 |
仿真结果还表明,通过调整功率分配系数对远端用户和近端用户的安全中断性能影响不同。 |
In addition, we demonstrate that the power allocation coefficients will have different impact on the stronger cognitive users and the weaker users. |