ID 原文 译文
23185 首先，针对水下高速目标辐射噪声的 DEMON(Detection of Envelope Modulation On Noise)谱特征进行分析，根据 DEMON 谱的频率可分性，定义了 DEMON 谱调制分布比(Modulation Distribution Ratio, MDR)。 Firstly, analysis of Detection of Envelope Modulation On Noise (DEMON) spectrum of actual measured radiated noise is finished. The Modulation Distribution Ratio (MDR) of radiated noise is defined based on the separability of modulation frequency of DEMON spectrum.
23186 然后，根据水下高速目标辐射噪声的功率谱历程图直纹特征，应用图像边缘检测、线谱生长等理论进行特征提取，并分析了功率谱历程图的直纹特征量(Straight-line  Characteristic Quantity of Spectrum, SCQS)。 Then the spectrograms feature analysis and feature extraction of underwater high speed radiated noise are done based on image edge detection and edge growing. The Straight-line Characteristic Quantity of Spectrum (SCQS) of vehicle radiated noise is analyzed.
23187 最后，根据 2 种特征量的实测信号分析结果，定义了目标辐射噪声的 HSCQ，实现了一种新的水下高速目标分类方法。实测信号分析结果显示，采用 MDR 或 SCQS 进行单特征量分类，非高速目标的误报率分别为 21.4%和 16.3%；采用 HSCQ 进行分类，非高速目标的误报率仅为 4.1%。 Finally, considering the analysis results of two types of characteristic quantity, a new classification method of underwater high speed vehicle is realized and HSCQ of vehicle radiated noise is designed. The actual measured radiated noise analysis shows that, the false alarm rate of non-high speed vehicle is respectively 21.4% (only using MDR), 16.3% (only using SCQS), and 4.1% (using HSCQ).
23188 针对自适应波束形成器在少快拍和波束指向角度失配情况下性能严重下降的问题，该文提出一种基于修正协方差矩阵的稳健主模抑制算法。 In order to solve the problem of adaptive beamformer performance degradation due to few snapshots and mainlobe angle mismatch, a robust dominant mode rejection adaptive beamforming algorithm based on modified covariance matrix is proposed.
23189 算法提出利用修正协方差矩阵估计主模成分，进而重构出数据协方差矩阵，同时利用其特征向量向期望信号导引向量的投影来确定信号子空间维数。 The algorithm employs modified covariance matrix to estimate dominant mode component and reconstructs covariance matrix.
23190 为提高算法在低信噪比情况下的性能，提出利用信号区域积分得到正定矩阵，以其主特征向量对信号子空间进行扩充，再将导引向量向信号子空间进行投影得到修正的导引向量。 Then, the signal subspace is obtained by projecting the steering vector of the desired signal onto eigenvector of the reconstructed covariance matrix, for enhancing the performance of algorithm at low SNR, the algorithm uses the principal eigenvector of a positive define matrix which integrates the desired signal region to modify signal subspace, thus calibrated steering vector of the desired signal is obtained by projecting the presumed steering vector onto the modified signal subspace.
23191 最终利用重构协方差矩阵及修正导引向量得到最优权值。 Finally, the optimal weight is obtained from the reconstructed covariance matrix and the calibrated steering vector.
23192 理论分析和仿真实验验证了所提算法的有效性和稳健性。 Theoretical analysis and simulation show the effectiveness and robustness of the proposed algorithm.
23193 在带约束的最长公共子序列问题中提出一种特殊的新问题：假设有两序列 Q 和 C,  Q 中指定的匹配位置序列 I，计算两序列 Q 和 C 的最长公共子序列，且这个最长公共子序列的匹配路径必须经过位置序列 I。 A special new problem is proposed in the constrained longest common subsequence problem. Given sequences Q , C and the specific positions sequence I in Q, the matching path constrained longest common subsequence problem for Q and C with respect to I is to find a Longest Common Subsequence (LCS) of Q and C such that the positions I in Q are in matching path of this LCS.
23194 针对此问题，该文提出一种带匹配路径约束的最长公共子序列算法。 A matching path constrained longest common subsequence algorithm is proposed for this problem.