Shenzhen University

City University of Hong Kong

Huawei Technologies Co., Limited

Xiaopeng Li

Qiang Li

Lei Huang

Mingyang Chen

Qian Wang

Hing Cheung So

Abdelhak M Zoubir

Shenghua Bao

Zhenhui Wang

Weize Sun

Peichang Zhang

Yuhang Xiao

Tianyao Long

Xinzhu Chen

Lifang Feng

Peiwen Wu

Zhiyong Wang

A DoA estimation method and device based on steering vector matrix reconstruction, related to the field of array signal processing. The method includes: obtaining an array sampling covariance matrix according to an array received signal; setting a target variable, and limiting a feasible domain of the target variable by using two operators to determine a first constraint condition; characterizing an estimation error based on the target variable and the array sampling covariance matrix, and using the characterized estimation error as a second constraint condition; establishing an initial optimization model according to a preset norm based on partial sum of singular values and constraint conditions of the target variable; determining a multivariable optimization model according to the initial optimization model; and solving the multivariable optimization model to obtain an optimal result; analyzing the optimal result to obtain a DoA of the target incident signal.

Direction of arrival estimation method and device based on steering vector matrix reconstruction

A method and a device for constructing a redundancy-removed coprime radar array based on one-bit quantization. The method includes obtaining a first sub-array element and a second sub-array element both used for constructing a redundancy-removed coprime radar array, and determining a redundancy-removed coprime array respectively corresponding to the first sub-array element and the second sub-array element by a graph theory method; obtaining target echo data of the redundancy-removed coprime array, and obtaining a target radar array by performing one-bit quantization on the target echo data for completing array cavities of the redundancy-removed coprime array; moreover, before the completing, positions of all non-empty array elements in a redundancy coprime array are used to place radars, and before the completing, the radars are not arranged in positions of empty array elements.

Method and device for constructing redundancy-removed coprime radar array based on one-bit quantization

A method for performing data recovering operation is provided. The method includes: identifying a plurality of first values and a plurality of first indexes of a plurality of first entries of an incomplete matrix in a received object data, and one or more second values and one or more second indexes of one or more second entries of the incomplete matrix; inputting the first values, the first indexes, a preset first parameter, a preset second parameter and a preset third parameter into an analysis model using Adaptive Rank-One Matrix Completion (AROMC) algorithm; and obtaining a recovered complete matrix corresponding to the incomplete matrix from the analysis model, so as to obtain optimized one or more second values of the second entries, wherein the optimized one or more second values are determined as original values of the second entries, such that the incomplete matrix is recovered to the recovered complete matrix.

Method and electronic device for recovering data using adaptive rank-one matrix completion

A method, a system and an intelligent terminal for one-bit quantization DoA estimation, which include: when a quantity of far-field and uncorrelated spatial narrow-band source signals are incident from different directions to a uniform linear array receiver, receiving the narrow-band source signals by a quantity of antenna array elements, and the vector and matrix are used to model the received signals by one-bit quantization to obtain a joint probability mass model of one-bit quantization DoA estimation; deriving the joint probability mass model of one-bit quantization DoA estimation, and constructing an lnorm optimization model based on the maximum likelihood principle; solving the steepest descent direction of the optimization model by steepest descent method to obtain the one-bit quantization DoA and the source number.

Method, system, and intelligent terminal for one-bit quantization direction of arrival estimation

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