| ID | 原文 | 译文 |
| 55337 | 为了解决这一矛盾,提出了基于压缩感知的单快拍DOA(single-snap DOA,SSDOA)估计方法。 | In order to solve this contradiction, put forward based on compression perception of single snapshot DOA (single - snap DOA, SSDOA) estimation method. |
| 55338 | 与传统DOA方法相比,该方法具有更高的估计精度和分辨能力,并且能处理相干信号,且无需已知目标数目。 | Compared with the traditional DOA method, this method has higher estimation accuracy and resolution, and can deal with coherent signal, without a known target number. |
| 55339 | 仿真表明,本文提出的SSDOA算法在估计精度上和分辨能力上都优于多重信号分类(multiple signal classification,MUSIC)算法,并为雷达系统的实时分析提供了保障。 | Simulation show that the proposed SSDOA algorithm on the estimation precision and resolution are better than that of the multiple signal classification (multiple signal classification, MUSIC) algorithm, and provides guarantee for real-time analysis of the radar system. |
| 55340 | 针对均匀线阵(uniform linear array,ULA)互耦条件下混合信源的波达方向(direction of arrival,DOA)估计问题,基于联合对角化算法,提出了一种基于3步实现的DOA与互耦系数估计新算法。 | For uniform linear array (ULA) uniform linear array, the mutual coupling conditions of mixed source DOA (direction of concatenated, DOA) estimation problem, based on joint diagonalization algorithm, this paper proposes a realization based on step 3 of DOA and mutual coupling coefficient estimates that the new algorithm. |
| 55341 | 首先利用互耦矩阵的Toeplitz结构实现混合信源中独立信源的DOA及互耦系数的粗估计;然后结合斜投影及前后向空间平滑,实现混合信源DOA估计;最后以广义空间特征矩阵及混合信源DOA估计值为基础,提出一种非子空间类互耦系数自校正方法。 | First of all, based on the mutual coupling matrix Toeplitz structure realizes the independent source in the mixed source DOA and coarse estimation of mutual coupling coefficient;Then before and after the combination of oblique projection and smooth out the space to achieve mixed source DOA estimation;Finally, generalized space characteristic matrix and mixed source DOA estimation as the foundation, put forward a kind of subspace class since the mutual coupling coefficient correction method. |
| 55342 | 计算机仿真结果表明,与同类算法相比,所提算法无论在DOA及互耦系数估计精度、还是在DOA估计成功率方面,均具有明显的优势,且对于高斯背景噪声具有普适性。 | The computer simulation results show that compared with other similar algorithms show that the proposed algorithm in DOA estimation precision and the mutual coupling coefficient, or in terms of success rate of DOA estimation, have obvious advantages, and has universality for gaussian background noise. |
| 55343 | 为了解决合成孔径雷达-地面动目标检测系统中快速运动目标径向速度过大导致模糊的问题,提出一种基于单通道两视干涉相位无模糊估计方法。 | In order to solve the synthetic aperture radar - ground moving target detection system in the fast moving target radial velocity is too big lead to fuzzy problems, put forward a kind of based on single channel two apparent interferometric phase fuzzy estimation method. |
| 55344 | 该方法首先在距离频率构造两视数据,再将两视数据进行干涉处理。 | This method first two depending on the data structure, the distance frequency interference and saw two data. |
| 55345 | 利用两视干涉相位与方位慢时间的关系无模糊估计径向速度,该方法具有不受相位缠绕影响的优点。 | Using the relationship between the two saw the interferometric phase and bearing the slow time no fuzzy estimate radial velocity, the advantages of this method is not affected by the phase winding. |
| 55346 | 分析了所提算法在杂波背景和多目标情况下的应用,并研究了所提算法应用条件和最大不模糊速度。 | Analysis of the proposed algorithm in clutter background and multiple target case application, and studies the conditions of the proposed algorithm and the maximum fuzzy speed. By simulation and measurement data processing to verify the effectiveness of the proposed method. |