| ID | 原文 | 译文 |
| 14545 | 针对Turbo码全并行译码算法译码迭代次数多、硬件消耗大的问题,提出了一种基于RADIX-4的改进译码算法。 | To solve the problem that the fully－parallel Turbo decoding algorithm requires plenty of memoryresource and decoding iterations，a modified algorithm based on ＲADIX－4 algorithm is proposed． |
| 14546 | 将译码算法中状态转移图的相邻两步状态合并为一步计算,译码时以"比特对"的形式操作进行迭代。 | The two neighboring stages in state transition diagram of the decoding algorithm are merged into one calculation，andthe decoding iterations are operated in the form of “coupled bits”． |
| 14547 | 在保留译码最大并行度同时,译码计算单元使用量减少一半,显著降低了Turbo码全并行译码算法的运算复杂度和存储开销。 | While the highest parallelism is preserved，the usage of algorithmic blocks is cut in half，which significantly reduces the computational complexity and memory resource requirement of the fully－parallel Turbo decoding algorithm． |
| 14548 | 仿真结果表明,在相同迭代次数条件下,该方法的译码性能较全并行译码算法平均提高约0.5 d B。 | Simulation in LTEsystem indicates that the proposed algorithm has better error correction performance of about 0．5 dB under the same decoding iterations compared with the fully－parallel Turbo decoding algorithm． |
| 14549 | 对于第三代合作伙伴计划(The 3rd Generation Partnership Project,3GPP)中的5G新空口(New Radio,NR)系统,同步信号检测算法的计算非常复杂,根据主同步信号的特性,提出了分段互相关与对应叠加的联合检测算法。 | For the 5G New Ｒadio( NＲ) system in The 3rd Generation Partnership Project( 3GPP) ，calculation of the synchronization signal detection algorithm is very complicated．According to the characteristics ofthe main synchronization signal，a joint detection algorithm of segment cross－correlation and correspondingaddition is proposed． |
| 14550 | 该算法只对接收信号进行一次与本地主同步信号(Primary Synchronization Signal,PSS)序列之和的分段相关处理,即可得到相关峰值的位置,并检测到粗同步点的位置,进一步对粗同步点做局部互相关,根据最大峰值检测出精同步点,降低了计算的复杂度。 | This algorithm only performs segment correlation processing on the received signalonce and the sum of the local primary synchronization signal( PSS) sequence to obtain the position of thecorrelation peak．The position of the coarse synchronization point is detected，and further local cross－correlation is performed on the coarse synchronization point，and the fine synchronization point is detected basedon the maximum peak，which reduces the computational complexity． |
| 14551 | 对传统互相关算法、分段互相关算法和改进算法进行了理论推导和复杂度对比分析。 | The traditional cross－correlation algorithm，segmented cross － correlation algorithm and improved algorithm are theoretically deduced and thecomplexity is compared and analyzed． |
| 14552 | 结果表明,相对于传统互相关算法,改进后的算法有效降低了计算量,提升了抗频偏性能。 | The results show that compared with the traditional cross－correlationalgorithm，the improved algorithm can effectively reduce the computation and improve the performance offrequency offset resistance． |
| 14553 | 车联网(Internet of Vehicles,Io V)是智能交通和通信领域的热点课题,协同通信算法的研究是Io V通信的重要技术之一。 | Internet of Vehicles( IoV) is a hot topic in the field of intelligent transportation and communication．The research on cooperative communication algorithm is one of the important technologies in IoV． |
| 14554 | 针对Io V环境下因通信拓扑结构快速变化导致数据信号利用单一通信方式难以高效传输的问题,提出Io V环境下协同通信算法,利用车对车(Vehicle-to-Vehicle,V2V)和车对路(Vehicle-to-Infrastructure,V2I)协同通信方法,对目标数据从请求到完成的平均传输时间进行了理论分析和推导。 | For the problem that it is really difficult to transmit the data signals efficiently by using a single communicationmethod due to the rapid change of communication topology in IoV，this paper proposes a cooperative communication algorithm which uses Vehicle－to－Vehicle( V2V) and Vehicle－to－Infrastructure( V2I) to analyze and deduce the average transmission time of the target data from request to completion． |