ID 原文 译文
20945 首先在修正极坐标系(MPC)下推导目标状态估计分解方程，采用真实状态对消的方法得到航迹矢量，为剔除大部分非同源目标航迹，构建方位角变化率-距离变化率与距离比(ITG)统计量进行粗关联， The state estimation decomposition equation is firstly derived in the Modified PolarCoordinates (MPC). The track vectors are obtained by the real state cancellation method. Second, In order toeliminate most non-homologous target tracks, the rough association is performed according to the features ofthe azimuthal rate and Inverse-Time-to-Go (ITG).
20946 然后采用基于航迹矢量检验的方法实现雷达与ESM的航迹关联。 Finally, the track-to-track association of radar and ESM isextracted based on track vectors chi-square distribution.
20947 最后通过实验仿真验证了该文算法在不同系统误差、目标密度、检测概率等环境下的有效性。 The effectiveness of the proposed algorithm are verified by Monte Carlo simulation experiments in the presence of sensor biases, targets densities and detection probabilities.
20948 针对复杂电磁环境电磁干扰复杂度定性与定量评估问题，该文提出一种基于快速S变换时频空间模型的复杂度评估方法。利用快速S变换方法同步提取时域占用度、频域占用度和能量占用度等评估指标，给出了具体计算方法。 For qualitative and quantitative complex evaluation problem of electromagnetic environment. This paper proposes a novel electromagnetic environment complex evaluation algorithm based on fast S-transformand time-frequency space model, which can count time-complex, frequency-complex and energy-complex simultaneously.
20949 在此基础上建立快速S变换时频空间评估模型，将时域、频域和能量域3维向量的F范数和均方根作为电磁环境主观复杂度和客观复杂度评估指标，克服了传统电磁干扰复杂度评估独立参数定级不能全面反映电磁干扰整体特性的局限性。 Meanwhile, the computation methods and concept of qualitative and quantitative evaluation degree are introduced. To overcome the limitations of the traditional methods, F-norm and root-mean-squareare selected as two important evaluation indicators, which have the advantage in accurate evaluation.
20950 仿真结果表明，采用该模型能有效同步提取时频及能量评估特征参数，时频空间评估模型能精确反映整体电磁干扰特征； Simulation results show that the proposed method is accurate and effective to reflect the intensity degree of electromagnetic interference; Meanwhile, the interference experiment of bus card confirms the correctness of the time-frequency space model.
20951 实验测试结果验证了本文所提评估方法的正确性。 The experimental test results verify the correctness of the mentioned evaluators.
20952 该文提出一种改进的时间交错采样模数转换器(TIADC)失配误差补偿方法。 An improved method is proposed for compensating the distortion created by mismatches in Time-Interleaved Analog-to-Digital Converters (TI ADCs).
20953 系统通过误差参数和简化的拉格朗日插值算法分别实现了对偏置、增益的失配误差补偿和采样时间的失配误差补偿。 The error compensation of offset and gain is realized byerror parameters, and the error compensation of sampling time is realized by the simplified Lagrangeinterpolation algorithm.
20954 该补偿方法在FPGA中采用低复杂度的定点运算实现，在TIADC硬件平台中实现了对多通道ADC采样数据的线上校正。 The compensation method is implemented in FPGA with the low complexity of fixed-point algorithm, and the online calibration of multi-channel ADC sampling data is implemented in the TIADC hardware platform.