ID 原文 译文
21665 多源定位是信号处理中的重要问题。 Multiple sources localization is an issue of theoretical importance and practical significance in signal processing.
21666 该文针对目标偏离初始网格点引起的基不匹配问题,构建具有Laplace先验的稀疏贝叶斯学习框架,提出基于稀疏贝叶斯学习的网格自适应多源定位算法AGMTL。 The basis mismatch problem caused by target deviation from the initial grid point is addressed. Based on sparse Bayesian learning framework with Laplace prior, a novel iterative Adaptive Grid Multiple Targets Localization (AGMTL) algorithm is proposed to tackle the practical situation in which the targets deviates from the initial grid point.
21667 本质上,AGMTL实现了稀疏信号重建和网格自适应定位字典的学习。 In essence, AGMTL algorithm implements sparse signal reconstruction and adaptive grid localization dictionary learning jointly.
21668 仿真结果表明,AGMTL通过网格自适应调整,在定位误差,估计可靠性,抗噪性能上均远远优于传统的压缩感知定位算法。 The simulation results show that AGMTL algorithm outperforms the traditional Compressive Sensing (CS) based on localization algorithm in the terms of localization error, estimation reliability and noise robustness.
21669 针对传统方法基于宽带回波距离像包络信息提取微动分辨率较低这一问题,该文提出了一种结合宽带回波距离像包络信息和相位信息的微动特征参数化估计新方法。 The traditional method used to extract micro-motion is based on the envelope information of the wideband echo range profile, the estimation accuracy of the traditional method is unsatisfactory. To deal with this problem, a new method for parameter estimation of micro-motion feature is proposed, which is implemented by combining envelope information and phase information of the wideband echo range profile.
21670 该方法通过对回波距离像包络分段并对各段进行Keystone变换实现距离方位解耦和,得到目标由于微动引起的各散射点相对参考点径向微距变化粗估计。 Firstly, the Keystone transform is performed to each segment obtained by segmenting the envelope of the echo range profile to estimate micro-motion coarsely.
21671 利用粗估计结果提取回波相位信息,由相位测距原理可得到各散射点的精确微距曲线,进而完成进动目标运动及几何参数的估计。 Then, the echo phase information is extracted according to the coarse estimation results. The accurate micro-motion curve of each scattering point can be obtained by the principle of phase-derived range. Finally, the estimation of the micro-motion and geometric parameters of the precession target is completed by utilizing the extracted micro-motion curve.
21672 相比于只利用距离像包络信息提取微动的传统方法,所提算法可有效提升参数估计精度。 Compared with the traditional method, the proposed algorithm can improve the precision of parameter estimation effectively.
21673 仿真实验验证了其有效性和稳定性。 The effectiveness and stability of the proposed algorithm is verified by simulation experiments.
21674 全同态加密是在不解密密文的情况下直接对密文进行操作。 Fully homomorphic encryption allows any operation evaluation on encrypted data without decryption.