| ID | 原文 | 译文 |
| 54607 | 仿真结果表明: 通过均衡处理后的低莱斯因子信道能逼近高莱斯因子的误码特性， | The simulation results show that the low Rice factor channel after equalization can approach the bit error characteristics of the high Rice factor. |
| 54608 | 当信噪比为20 dB时，不同莱斯因子下QPSK信号的误码率均降低至10-4以下，且在一个数量级内。 | When the signal-to-noise ratio is 20 dB, the bit error rate of QPSK signals under different Rice factors is reduced to 10-4 below and within an order of magnitude. |
| 54609 | 当信噪比为2～6 dB时，系统误码率分布在10-1～10-3之间，要低于信号在自由空间传播的误码率，说明MMSE均衡充分利用了多径分量的能量，获得了信噪比增益。 | When the signal-to-noise ratio is 2～6 dB, the system bit error rate is lower than the bit error rate of the signal propagating in free space range from 10-1to 10-3, indicating that MMSE equalization makes full use of the energy of the multipath component and obtains the signal-to-noise ratio gain. |
| 54610 | 目标定位是雷达信号处理中一个具有重要理论意义与实际意义问题。 | Targets localization is an issue of theoretical importance and practical significance in radar signal processing. |
| 54611 | 为解决频控阵雷达传统的目标定位算法存在计算量大、目标真实位置偏离空间离散采样网格等问题。 | In order to solve the problems of the traditional targets localization algorithm of Frequency Diverse Array(FDA) radar, such as large amount of calculation and the true location of the target deviates from the spatial discretized sampling grid. |
| 54612 | 本文将频控阵雷达特性与离网稀疏贝叶斯模型结合提出了基于稀疏贝叶斯学习的双脉冲频控阵雷达离网目标定位算法。 | In this paper, an off-grid targets localization algorithm by a double-pulse Frequency Diverse Array(FDA) radar based on Sparse Bayesian Learning(SBL) is put forward by combining FDA radar characteristics with off-grid Sparse Bayesian model. |
| 54613 | 频控阵雷达发送两个脉冲，其频率偏移量分别为零和非零， | The FDA radar transmits two pulses with zero and non-zero frequency offsets, respectively, |
| 54614 | 然后基于离网稀疏贝叶斯模型估计目标的方位角与斜距。 | and then estimates the azimuth angle and slant range of targets based on the off-grid sparse Bayesian model. |
| 54615 | 这种方法可以理解为当频控阵雷达以零频偏发射脉冲时，在角度域中检测目标，然后通过适当选择非零频率偏移量在距离域中对目标定位。 | This approach can be interpreted as detecting the targets in angle dimension when the FDA radar emits pulse with zero offset and then localizing them in range dimension by properly choosing the non-zero frequency offset. |
| 54616 | 仿真结果表明，即使在较粗糙的采样网格下，该算法也能保持较高的估计精度， | According to the simulation, the algorithm can maintain high estimation accuracy even under a coarse sampling grid, |