| ID | 原文 | 译文 |
| 53837 | 通过在Sentinel-1 SAR数据上进行相关实验，结果表明本文研究可在线对海量SAR数据进行实时、高效、快速地处理，对海上舰船监视具有较高的实际应用价值。 | Through related experiments on Sentinel-1 SAR data, the results show that the research in this paper can process massive SAR data online in real time, efficiently and quickly, and has high practical application value for maritime ship surveillance. |
| 53838 | 咬尾是一种将卷积码转换为块码的技术，它消除了归零状态所造成的码率损失，同时避免了截尾带来的性能降低，在短块编码中具有明显优势。 | Tail-biting is a technique to convert convolutional codes into block codes. It eliminates the bit rate loss caused by the zero return state and avoids the performance degradation caused by tail-cutting. It has obvious advantages in short code transmission. |
| 53839 | 针对咬尾卷积码(TBCC)现有译码算法复杂度过大和收敛性问题，提出一种低复杂度的TBCC自适应循环维特比(VA)译码算法。 | Aiming at the complexity of the existing decoding algorithms of tail-biting convolutional code(TBCC) over large and convergent, a low complexity TBCC adaptive cyclic Viterbi(VA) decoding algorithm is proposed. |
| 53840 | 该算法根据信道变化自适应调整译码迭代次数，使咬尾路径收敛到最佳。 | The algorithm adjusts the number of iterations adaptively according to the change of the channel so that the tail-biting path converges to the best. |
| 53841 | 通过仿真对比不同译码算法的块错误率和译码迭代次数，结果表明TBCC性能明显好于传统卷积码; | By comparing the block error rate and decoding iteration times of different decoding algorithms, the simulation results show that the performance of TBCC is obviously better than traditional convolutional codes. |
| 53842 | 相比于同类循环VA算法，在不降低性能的前提下，改进算法简化了停止规则，减少译码迭代次数和复杂度，在低信噪比时，改进算法比传统绕维特比译码算法(WAVA)平均迭代次数减少约4次。 | Compared with the similar cyclic VA algorithm, the improved algorithm simplifies the stop rule and reduces the number and complexity of decoding iteration without reducing the performance. At low SNR, the average number of iterations of the improved algorithm is reduced by about 4 times compared with the traditional wrap-around Viterbi decoding algorithm(WAVA). |
| 53843 | 针对静止轨道(Geostationary Earth Orbit，GEO)卫星系统和低轨道(Low Earth Orbit，LEO)卫星系统频率共享时存在的干扰问题，本文基于低轨分布式卫星编队提出了一种鲁棒自适应波束成形算法，从空间域功率隔离角度解决了高低轨卫星通信系统上行链路共用频谱时GEO用户对于LEO卫星共线干扰问题。 | To solve the problem of interference existing in the frequency sharing between the Geostationary Earth Orbit(GEO) satellite system and the Low Earth Orbit(LEO) satellite system, this paper reconsidered the use strategy of spatial spectrum resources, proposed a robust adaptive beamforming algorithm based on low-orbit distributed satellite cluster from point view of power isolation in the spatial domian. |
| 53844 | 算法中综合考虑卫星通信系统长传播时延导致的阵列导向矢量存在一定误差，在基于线性约束最小方差(LCMV)准则的自适应波束成形器中设计了考虑系统最恶劣误差情况的鲁棒性约束， | The proposed beamforming algorithm comprehensively consider the robust constraint design for the certain error in the array steering vector caused by the long propagation delay of the satellite communication system based on linearly constrained minimum variance(LCMV) criterion. |
| 53845 | 并采用泰勒级数逼近法求解波束成形器加权矢量。 | A nonconvex beamforming optimization problem was relaxed to a second-order cone constraints(SOCP) problem. |
| 53846 | 仿真结果表明本文的鲁棒波束成形算法在卫星通信环境下适应度较高，能够有效地缓解高低轨卫星通信系统频率共享带来的同频干扰问题。 | Simulation results show that the proposed robust beamforming algorithm is more adaptable in the satellite communication environment, and can effectively alleviate the problem of co-frequency interference caused by frequency sharing of dual-satellite communication systems. |