ID 原文 译文
17045 针对这一问题，该文基于主动声呐目标回波信号模型和分数阶傅里叶变换(FRFT)原理，推导了多阶次FRFT域特征表征形式，建立了FRFT域稀疏表示模型，提出了一种多阶次FRFT域特征融合的主动声呐目标稀疏表示分类方法。 In order to solve this problem,based on the echo signal model of active sonar target and the principle of FRactional Fourier Transform(FRFT), this paper deduces the multi-order FRFT domain feature representation form, establishes the FRFTdomain sparse representation model, and proposes a method to classify the sparse representation of active sonartargets with multi-order FRFT domain feature fusion.
17046 该方法通过FRFT的能量聚集性和稀疏分解的残差去除过程，达到了抑制噪声和混响干扰的目的；通过多阶次FRFT域特征的融合，增加目标之间的可分性，进而实现海洋环境中低信混比条件下的主动声呐目标分类。 The method achieves the purpose of suppressing noiseand reverberation interference through the energy aggregation of FRFT and removing the residual of sparsedecomposition; Through the fusion of multi-order FRFT domain features, the separability of targets isimproved, and the active sonar target classification with low SNR is realized.
17047 实验结果表明，所提方法在信混比达到0 dB的条件下，分类准确率能够达到90%以上。 Experimental results show thatthe classification accuracy of the proposed method can reach more than 90% when the SNR is about 0 dB.
17048 为了实现少快拍、低信噪比(SNR)条件下的水下目标快速方位估计，该文建立矢量水听器阵列方位估计稀疏表示模型。 In order to realize the fast direction estimation of underwater targets under the conditions of lesssnapshot and low SNR, a sparse decomposition model of vector hydrophone array direction estimation isestablished.
17049 利用实值转化技术将复数方向矩阵转化到实数域，以便利用平滑L0算法对稀疏信号矩阵进行重构从而得到方位估计结果。 The real value conversion technique is used to convert the complex direction matrix into the realnumber field, so as to reconstruct the sparse signal matrix using the SL0 algorithm to obtain the orientationestimation result.
17050 该文改进平滑L0算法，利用收敛性更好的复合反比例函数(CIPF)函数作为平滑函数以及提出促稀疏加权的方法，该方法通过加权的方式修正噪声条件下L2范数作为迭代初始值偏离稀疏解较远的问题来促进算法快速收敛于稀疏解。 The SL0 algorithm is improved, the Compound Inverse Proportional Function (CIPF) withbetter convergence is used as a smoothing function, and a weighted method is proposed which can promotesparsity, the weighted method is used to correct the problem that the norm as the initial iteration valuedeviates far from the sparse solution to increase the speed of azimuth estimation.
17051 通过仿真验证了该文提出的基于实值转换的促稀疏加权平滑L0算法在少快拍、低信噪比的条件下可以实现优于传统子空间类算法的性能，并且在保证性能的同时，显著提高方位估计的速度。 The simulation verifies thatthe proposed algorithm can achieve better performance than the traditional subspace algorithm under theconditions of low snapshot and low SNR, and improve the speed of bearing estimation while ensuringperformance.
17052 该文在广义Pareto分布海杂波背景下研究了单元平均(CA)和有序统计量(OS)两种非相干检测器的恒虚警(CFAR)性质，推导了两种非相干检测器的虚警概率公式，发现了两种检测器对杂波的尺度参数是恒虚警的。 In this paper, under the generalized Pareto distributed sea clutter, the Constant False Alarm Rate(CFAR) properties of Cell-Averaging (CA) and Order-Statistic (OS) non-coherent detectors are studied, thefalse alarm probability formulas of the two non-coherent detectors are derived, and it is found that the twodetectors are CFAR with respect to the scale parameter of sea clutter.
17053 然而，两种检测器对杂波的散斑协方差矩阵结构和杂波形状参数是非恒虚警的。 However, the two detectors do not haveCFAR with respect to speckle covariance matrix structure and shape parameter of sea clutter.
17054 为了实现全场景的恒虚警检测，预先通过白化方法将具有相关性的海杂波去相关，并通过查表方法使用了匹配杂波形状参数、累积脉冲数和参考单元数的检测门限。 In order to ensure CFAR detection in the overall scene, the correlated sea clutter is decorrelated via whitening and the detection threshold matching the shape parameters of sea clutter, number of accumulated pulses, and number of reference cells is applied via lookup tables.