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A Robust Angle of Arrival Estimation Method Based on Sparse Representation and Covariance Fitting

A sparse representation and covariance technique, applied in the field of signal processing, which can solve problems such as estimation accuracy limitations

Active Publication Date: 2018-03-13
NANJING UNIV OF POSTS & TELECOMM
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Problems solved by technology

However, this method requires the signal source to be located on the grid used in the sparse spatial spectrum representation, and its estimation accuracy is limited by the grid density.

Method used

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  • A Robust Angle of Arrival Estimation Method Based on Sparse Representation and Covariance Fitting
  • A Robust Angle of Arrival Estimation Method Based on Sparse Representation and Covariance Fitting
  • A Robust Angle of Arrival Estimation Method Based on Sparse Representation and Covariance Fitting

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Embodiment Construction

[0055] refer to figure 1 , the implementation steps of the present invention are as follows:

[0056]Step 1: Use N omnidirectional antenna receivers to form a uniform linear array to estimate the direction of K narrowband signal sources in space. The possible direction set of the signal source is Ω, and the candidate direction network is covered on it where θ k Represents a generic orientation parameter.

[0057] Step 2 Calculate the theoretical expression of the signal covariance matrix R and the actual sampling value according to the output signal of the antenna array

[0058]

[0059]

[0060] Step 3: Use the covariance matrix to construct an optimization problem for parameter estimation:

[0061] Using the parameterized expression of covariance about p, σ, ∈ in step 2), the weighted covariance fitting criterion for direction estimation is obtained, and the optimization problem is established by combining the constraints of the parameters themselves. Since the o...

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Abstract

The present invention proposes a robust angle of arrival estimation method based on sparse representation and covariance fitting. It mainly includes establishing a sparse spatial spectrum representation model according to the received signal of the antenna array, parameterizing the model error, and establishing an optimization problem according to the covariance fitting criterion. Because the obtained problem is a non-convex optimization, the problem is converted and solved by equivalent conversion, adding parameters, and step-by-step solution. Firstly, without considering the model error, the original problem can be reduced to a convex optimization problem. The existing method is used to quickly solve the convex optimization problem and obtain the initial solution. Then iteratively solve the original problem, estimate the model error parameters and update the initial estimate. The present invention can obtain accurate DOA estimation with low complexity.

Description

technical field [0001] The invention belongs to the technical field of signal processing, in particular to estimation of the angle of arrival and direction, and can be used for passive positioning and target detection. Background technique [0002] Direction of Arrival (DOA) estimation is to use antenna arrays in different positions in space to receive signals from multiple signal sources in different directions, and use modern signal processing methods to quickly and accurately obtain the direction of signal sources. It has important application value in other fields. [0003] Traditional DOA estimation techniques include subspace-based methods, such as the MUSIC method and maximum likelihood estimation. In recent years, the development of signal sparse recovery and sparse representation has provided new ideas for DOA estimation techniques. The main idea of ​​signal sparse representation is to use the fine grid to cover the value space of the parameter to be estimated, an...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04B7/08H04B17/391
Inventor 蔡曙王士欣刘旭朱洪波
Owner NANJING UNIV OF POSTS & TELECOMM
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