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Wideband signal DOA estimation method based on sparse representation of covariance matrix

A technology of covariance matrix and wideband signal, applied in the field of wideband signal direction of arrival estimation based on sparse representation of covariance matrix, can solve problems such as performance degradation and failure, and achieve the effect of high detection probability and resolution accuracy

Pending Publication Date: 2019-06-18
XIDIAN UNIV
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Problems solved by technology

There are a large number of broadband signals in practical applications, but the above two types of algorithms cannot be directly applied to broadband signals, and the performance is often seriously degraded or even invalid in the case of low signal-to-noise ratio, low snapshot, and low angle interval

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  • Wideband signal DOA estimation method based on sparse representation of covariance matrix
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  • Wideband signal DOA estimation method based on sparse representation of covariance matrix

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Embodiment Construction

[0018] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0019] First, the application scenario of the embodiment of the present invention is described as follows:

[0020] The receiving array receives P broadband incident signals incident from the far field in space, and the incident angles are denoted as θ 1 ,θ 2 ,…,θ i ,…,θ P , the incident frequency range is [f l , f h ], f l Indicates the lowest incident frequency, f h Indicates the highest incident frequency, θ i Indicates the incident angle of the i-t...

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Abstract

The invention belongs to the radar signal processing technology field and discloses a wideband signal DOA estimation method based on sparse representation of a covariance matrix. The method is used for estimating a wideband signal DOA. The method comprises the following steps of step1, establishing a wideband signal frequency domain model; step2, obtaining the covariance matrix at a reference frequency through focusing processing based on the wideband signal frequency domain model; step3, using the covariance matrix at the reference frequency to carry out sparse representation and constructinga target function about a sparse vector b0; and step4, solving the target function, obtaining the sparse vector b0, and determining an incident angle of a wideband incident signal according to a position corresponding to a non-zero element of the sparse vector. In the invention, an information source number does not need to be estimated, a direction of arrival of the signal can be accurately estimated in the case of a low signal to noise ratio, low snapshot, and a low angle interval, and a detection probability and resolution accuracy are high.

Description

technical field [0001] The invention relates to the technical field of radar signal processing, in particular to a method for estimating a direction of arrival (Direction Of Arrival, DOA) of a broadband signal based on a sparse representation of a covariance matrix. Background technique [0002] Array signal processing is an important research method of radar signal processing, and direction of arrival estimation is a hot issue in array signal processing. The incident signal can be regarded as sparse in the spatial domain. Combining the sparsity of the incident signal spatial domain and the idea of ​​sparse representation, it is reasonable to apply it to DOA estimation. [0003] In 2005, Malioutov et al. proposed the most classic sparse reconstruction algorithm—L1-SVD (Singular Value Decomposition) algorithm on the basis of narrowband signals. The algorithm decomposes the data received by the array element into the main signal part and the secondary part through singular val...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S13/02G01S7/288G01S7/285G01S7/35
Inventor 汤建龙杨磊丁嘉辉斯海飞
Owner XIDIAN UNIV
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