Method for sparse DOA (Direction of Arrival) estimation under mutual coupling of array elements

A sparse, array-element technology, used in direction finders using radio waves, radio wave direction/bias determination systems, etc., to achieve the effect of excellent performance and high angle measurement accuracy

Inactive Publication Date: 2017-07-25
TIANJIN UNIV
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Literature [4] applied the sparse signal reconstruction theory to the DOA estimation under the mutual coupling of unknown array elements. Theoretica

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  • Method for sparse DOA (Direction of Arrival) estimation under mutual coupling of array elements
  • Method for sparse DOA (Direction of Arrival) estimation under mutual coupling of array elements
  • Method for sparse DOA (Direction of Arrival) estimation under mutual coupling of array elements

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Embodiment Construction

[0033] The invention belongs to the field of array signal processing, and relates to a spatial signal direction-of-arrival (DOA) estimation technology based on sparse reconstruction. Specifically, it relates to a method of DOA estimation for sparse signals using a uniform linear array under the condition of unknown mutual coupling of array elements.

[0034] Most of the existing array self-calibration algorithms use auxiliary array elements to estimate DOA in the case of mutual coupling, and need to perform eigendecomposition on the covariance matrix of the received signal. When discarding some arrays to receive signals, the angle estimation accuracy of the arrays will inevitably be affected. The purpose of the present invention is to propose a DOA estimation algorithm under the condition of unknown array element mutual coupling. On the premise of sparse reconstruction theory, the algorithm makes full use of all the information received by the array, and can improve the angle ...

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Abstract

The invention relates to direction of arrival estimation for source signals, provides an algorithm for DOA (Direction of Arrival) estimation under a mutual coupling condition of unknown array elements. Under the premise of a sparse reconstruction theory, the algorithm makes full use of all information received by an array, and the angle estimation precision can be improved under strong mutual coupling of the array. The technical scheme adopted by the invention is that the method for sparse DOA estimation under mutual coupling of array elements comprises the steps of 1, calculating a covariance matrix R for a received signal X^(t); 2, performing singular value decomposition on the covariance matrix R; 3, calculating a signal subspace RS for receiving data according to a signal unitary space; 4, building a sparse signal complete dictionary AJ according to parameterization J of a steering vector; 5, building a convex programming function for sparse signal reconstruction according to a norm l1; 6, solving the convex programming function and performing spectrum peak search; and 7, further improving the estimation precision by using a principle of grid refinement. The method is mainly applied to direction of arrival estimation for signals.

Description

technical field [0001] The invention relates to the parameterization of the steering vector by using the inherent structural characteristics of the mutual coupling matrix under the assumption that the signal source is sparse and the uniform array has unknown mutual coupling information of the array elements without losing the received information of the array elements. On this basis, the principle of sparse reconstruction is used to estimate the direction-of-arrival (DOA) of the source signal. Background technique [0002] In spatial spectrum estimation, the earliest super-resolution angle estimation methods such as multiple signal classification (MUSIC) and rotation invariance (ESPRIT) algorithm belong to the algorithm of feature structure. These methods and their derivatives are based on the assumption that the flow pattern of the array is known precisely, and thus perform well. However, in practical engineering applications, the array antennas will interact with each oth...

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Application Information

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IPC IPC(8): G01S3/14
CPCG01S3/14
Inventor 汪清窦同东陈华阎维青高丽蓉
Owner TIANJIN UNIV
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