Abstract
In this paper, the tensor completion method is used to study the direction-of-departure (DOD), direction-of-arrival (DOA) and range parameters estimation of bistatic frequency diverse array (FDA) multiple-input multiple-output (MIMO) radar. Because in reality scene, the data received by the receiver may be incomplete data, only a part of the information is included. In order to solve the incomplete problem of the received signal, we can use the tensor completion to recover the missing part of the data. The traditional two-dimensional radar received signal is reconstructed into three-dimensional tensor signal model in tensor mode. A non-convex Laplacian function is proposed to approximate the tensor rank of the three-dimensional received signal. This is the problem of non-convex optimization. Using the alternative direction method of multipliers (ADMM), the non-convex optimization problem is divided into two sub optimization problems to solve, so as to recover the missing data of the received signal. Then, parallel factor (PARAFAC) is used to realize the joint estimation of parameters and improve the estimation accuracy.
Published Version
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