ID 原文 译文
20415 然后，建立有源欺骗干扰环境下的稀疏贝叶斯模型，基于相邻快拍相关性，利用BSBL算法进行DOA估计。 Then, the proposed method constructs a sparse Bayesian model under active deception jamming environment.The target DOA is estimated using the BSBL algorithm based on the neighbor time sampling correlation.
20416 仿真和实测数据处理结果表明，所提方法降低了干扰对BSBL算法的影响，且与APF联合子空间类算法或最大似然算法(ML)相比，具有更高的空间分辨率和DOA估计精度。 Simulated and measured data processing results prove that the proposed method reduces the influence ofinterference on the BSBL algorithm, and has higher spatial resolution and higher angle measurement accuracy,comparing with the method based on the combination of APF and subspace-based DOA algorithms ormaximum likelihood DOA algorithm.
20417 为提高电磁辐射源的定位精度，该文提出一种利用光纤方式同步的超短基线电磁探测阵列(CASMA)。 To improve the location resolution of electromagnetic radiation source, a ultra-short baseline networkCASMA (Mini-Array by Chinese Academy of Sciences) is proposed for detection, utilizing optical fiber fortiming.
20418 该阵列包括5个电磁探测站和1个控制中心，阵元间距约为1 km(基线长度与波长的比值约为0.1)，同步精度可达10 ns。 CASMA contains 5 electromagnetic detection stations and a control unit. The distance between eachpair of stations is about 1 km, meaning that the length of baseline to the wavelength is about 0.1. The timingaccuracy is about 10 ns.
20419 CASMA用来测量20～70 kHz长波发射电台的垂直电场信号，并利用低频电磁干涉成像算法计算发射电台的方位角。 CASMA is applied to record the vertical electric field emitting by radio transmitters.CASMA utilizes interferometric imaging algorithm to calculate the transmitters’ azimuth.
20420 通过实验对比可以发现，估计的发射台方位角与真实发射台方位角之间的误差小于0.2°，远远优于传统的波达角估计方法。 By experiment, the calculated azimuths approach the expected azimuths with deviations are less than 0.2°, showing many advantages over traditional systems or methods.
20421 因此，CASMA对电磁辐射源具有很高的测向精度。 Consequently, CASMA has accuracy direction findingresolution for electromagnetic radiation source.
20422 根据实验结果，在2500 km范围内，若两CASMA电磁探测阵对电磁辐射源进行交汇定位，定位精度预期可达0.5%·R(R为探测距离)。 According to the results, the location accuracy may be expected to be 0.5%·R in a 2500 km scope where R is the distance between the electromagnetic radiation source and CASMA using two sets of CASMA for intersection positioning.
20423 针对现有算法在预测多变量时间序列中的缺失数据时不适用或只适用于缺失数据较少的情况，该文提出一种基于克罗内克压缩感知的缺失数据预测算法。 In view of the problem that the existing methods are not applicable or are only feasible to the case where only a low ratio of data are missing in multivariable time series, a missing data prediction algorithm is proposed based on Kronecker Compressed Sensing (KCS) theory.
20424 首先，利用多变量时间序列的时域平滑特性和序列之间的潜在相关性从时空两个方面设计了稀疏表示基，从而将缺失数据预测问题建模成稀疏向量恢复问题。 Firstly, the sparse representation basis is designed to largely utilize both the temporal smoothness characteristic of time series and potential correlation between multiple time series. In this way, the missing data prediction problem is modeled into the problem of sparse vector recovery.