ID 原文 译文
21765 为了解决这一问题，该文提出一种个性化搜索中基于位置服务的隐私保护方法。 In order to address this problem, a method of privacy preserving on the location of mobile users is proposed when using personalized search.
21766 该方法通过转换用户的位置信息，并根据用户的查询类型生成用户模型，进而形成带有用户位置信息的查询矩阵，然后利用矩阵加密用户的查询，隐藏查询矩阵中的用户信息，最后根据安全内积计算返回相关性得分最高的前K个查询文件给用户。 The method is used to convert the user's location information into distance information and generate the user model according to the user's query type, forming a query matrix with user location information, then the matrix is used to encrypt the user's query and conceal the user information in the query matrix. Finally, according to the calculation of the security inner product, the K file with the highest relevance score is returned to the user.
21767 安全性分析表明该方法能有效地保护用户的查询隐私和位置隐私，通过分析与实验表明，该方法大幅度地缩短了索引构建时间，降低了通信开销，同时为用户提供了基于位置的个性化搜索结果，一定程度上解决了移动设备屏幕小带来的弊端。 It is evident from the security analysis that the proposed method can effectively protect the user's query privacy and location privacy. The analysis and experimental results show that the proposed method can greatly shorten the time of index construction and reduce the communication overhead. While providing users with location-based personalized search results, the method is able to remedy the defects of small-screen mobile devices.
21768 该文提出互质阵中基于降维求根的波达角(DOA)估计算法。 A Direction of Arrival (DOA) estimation method based on reduced-dimensional polynomial root finding technique is proposed for coprime array.
21769 互质阵包含两个稀疏均匀线性子阵，拥有互质的阵元间距和阵元数目。 Coprime array has two uniform linear subarrays with coprime inter-element spacing and antenna number.
21770 该算法基于子阵间的互协方差，利用较长子阵中的旋转不变性扩展较短子阵的虚拟孔径。 Based on the cross covariance matrix of the subarrays, the proposed method exploits the rotational invariance within the longer subarray to extend the aperture of the shorter one.
21771 然后通过矩阵分块构造噪声子空间，并将来自两个子阵的 2 维参数估计问题降维为 1 维求根问题，获得自动配对的2 维模糊参数估计。 After constructing the noise subspace via matrix partition and reducing the two dimensional parameter estimation problem into one dimensional root finding, automatically paired two dimensional parameters can be estimated.
21772 最后由这 2 维模糊参数可恢复出两组参数，根据互质性从两组参数估计的交集中可以获得无模糊的高分辨率 DOA 估计。 Finally, unambiguous DOA is determined from the intersections of the two groups of estimations, which are generated from the previously obtained two dimensional parameters.
21773 相比互质阵中的联合多重信号分类(MUSIC)算法和联合旋转不变技术(ESPRIT)算法，该算法无需特征分解，复杂度低，但可获得更精确的 DOA 估计，处理更多的信源，并且对色噪声有更强的鲁棒性。 In contrast to combined MUltiple SIgnal Classification (MUSIC) and Estimation of Signal Parameters via Rotational Invariance Technique (ESPRIT) for coprime array, the proposed algorithm achieves improved DOA estimation results and increased identifiable source number with reduced computation complexity. Furthermore, it is robust to spatial color noise.
21774 多个仿真结果均验证了所提算法的有效性。 Multiple simulation results verify the effectiveness of the proposed approach.