| ID | 原文 | 译文 |
| 9224 | 最后,将该理论框架应用于到达角(angle of arrival,AOA)/到达时间差(time difference of arrival,TDOA)联合定位场景,验证了其有效性。 | Finally, the theoretical framework is applied to the Angle of arrival (AOA) Angle of concatenated, / arrival time (the time difference of concatenated, TDOA) joint positioning, verify its validity. |
| 9225 | 仿真结果表明,所提算法定位精度能够逼近克拉美-罗下限(Cramer-Rao low bound,CRLB),定位偏差明显小于加权最小二乘算法,尤其在连续定位时间较短,噪声强度较大等情况下,验证了所提理论框架的优越性。 | Positioning accuracy of the simulation results show that the proposed algorithm can approximate g - ROM the lower limit of Latin America (Cramer Rao - low bound, CRLB), locating errors are much smaller than the weighted least squares algorithm, especially in the continuous positioning time is shorter, noise intensity bigger case, proves the superiority of the proposed theoretical framework. |
| 9226 | 针对窄脉冲信号的采样与重构,基于指数再生窗Gabor框架的欠Nyquist采样方法已经得到验证,但是当框架高度冗余时,使用传统方法对信号进行子空间探测会导致重构较大误差甚至失败。 | For narrow pulse signal sampling and reconstruction, based on the index of renewable Gabor window frame owe Nyquist sampling method has been verified, but highly redundant when framework, using the traditional method for signal subspace detection can cause larger error or even failure. |
| 9227 | 本文设计了分块的对偶Gabor字典,构建了基于该字典采样系统的重构模型; | In this paper, the design of block dual Gabor dictionary, based on the dictionary sampling system reconstruction model is constructed; |
| 9228 | 将分块思想引入冗余字典条件下信号空间投影,提出了基于Gabor分块字典的信号空间投影的SCoSaMP(simultaneous compressive sensing matching pursuit)算法,分析了算法的收敛条件; | Will block the mind introducing redundant dictionary, under the condition of signal space projection is proposed based on Gabor block dictionary of signal space projection SCoSaMP (simultaneous compressive sensing matching pursuit) algorithm, the convergence condition of the algorithm is analyzed; |
| 9229 | 推导了噪声条件下基于近似oracle估计的误差边界,并对算法进行降噪分析。 | Is deduced under the condition of noise based on approximate oracle estimation error of the boundary, and an analysis of the noise reduction algorithm. |
| 9230 | 仿真结果表明,提出的子空间探测方法相比传统方法,提高了信号恢复精度,降低了采样通道数,并增强了系统的鲁棒性。 | Simulation results show that the proposed subspace detection method compared with traditional methods, improved the precision of signal recovery, reduce the number of sampling channels, and enhance the robustness of the system. |
| 9231 | 针对干扰目标污染训练样本引起功率非均匀,造成空时自适应处理(space-time adaptive processing,STAP)目标检测性能下降这一问题,提出一种基于矩阵相似度的STAP非均匀样本选取方法。 | For training sample power caused by non-uniform interference target pollution, cause the space-time adaptive processing (space - time the adaptive processing, STAP) target detection performance of this problem, put forward a kind of similarity degree based on the matrix of STAP non-uniform sample selection method. |
| 9232 | 该方法首先从受污染样本与干净样本的差异性度量角度入手,采用均值Hausdorff距离度量样本矩阵相似性,然后结合凸优化包计算不同样本的相似度,最后根据相似度的不同,实现对受污染样本的剔除。 | This method firstly from the contaminated samples and clean with measurement of the difference of the sample, the average Hausdorff distance similarity measure sample matrix, then combined with convex optimization package to calculate similarity degree of different samples, according to the similarity of different, the implementation of the contaminated samples. |
| 9233 | 仿真结果表明,同广义内积法(generalized inner product,GIP)相比,采用均值Hausdorff矩阵相似度的挑选方法对于受小干扰强度目标污染的样本检测更加有效,避免了弱干扰目标对于协方差矩阵估计的影响,从而改善了STAP在功率非均匀环境下的目标检测性能。 | Simulation results show that with the generalized inner product method (generalized inner product, GIP), compared with the average Hausdorff matrix similarity selection method for samples contaminated with small signal intensity target detection is more effective, avoid the weak interference target for the influence of the covariance matrix estimation, thus improving the STAP in the power of target detection performance under the heterogeneous environment. |