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Weighted broadband direction-of-arrival estimation method based on group sparsity

A direction estimation and group sparse technology, applied in the field of signal processing, can solve problems to be improved, and achieve the effect of improving resolution and estimation accuracy, improving compression performance and real-time performance, and ensuring sparsity

Pending Publication Date: 2021-08-17
NANJING UNIV OF POSTS & TELECOMM
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Problems solved by technology

This method uses the group sparsity feature to reduce the demand for the number of sample data, can realize fast and accurate perception of signals with less observation data, and has better compression performance and real-time performance, and introduces weighting operations to ensure the sparsity of understanding , which further improves the estimation accuracy and performance, and solves the problem that the estimation accuracy and performance in the existing technology need to be improved to ensure the sparsity of the solution

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  • Weighted broadband direction-of-arrival estimation method based on group sparsity
  • Weighted broadband direction-of-arrival estimation method based on group sparsity
  • Weighted broadband direction-of-arrival estimation method based on group sparsity

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Embodiment

[0069] A weighted L1SVD method for estimation of the direction of arrival of broadband array signals based on group sparsity, such as figure 1 and figure 2 , where the airspace signal is a broadband incident signal, and the specific steps include:

[0070] S1, collect the received data of each channel;

[0071] Consider K broadband far-field signals s(t) at incident angle θ={θ 1 ,θ 2 …, θ K} is incident on a uniform linear array ULA composed of M (M>K) omnidirectional array elements, assuming that the duration of the observed array element output is long enough, the output data received by the array is divided into L non-overlapping Sub-sections, and then perform J-point discrete Fourier transform (Discrete Fourier Transform, DFT) on each piece of observation data, and convert to the frequency domain to obtain:

[0072] X(f j ) = [X 1 (f j ),X 2 (f j ),…,X L (f j )]

[0073] =A(f j )S(f j )+N(f j )

[0074] =A(f j )[S 1 (f j ), S 2 (f j ),…,S L (f j )]...

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Abstract

The invention provides a weighted broadband direction-of-arrival estimation method based on group sparsity. The method comprises the following steps: collecting receiving data of each channel; constructing an observation model under group sparsity; processing the obtained group sparse model by using an L1SVD method; introducing a weighting operation, and constructing a weighting coefficient through a spectrum peak value of the MUSIC algorithm; and obtaining a final broadband DOA estimation result. firstly a decorrelation operation is used, then a regularization parameter lambda is introduced to obtain a weighted objective function, then the weighted objective function is converted into a second-order cone optimization problem, and is solved to obtain a sparse signal S so as to obtain a DOA estimation result. According to the weighted broadband direction-of-arrival estimation method based on group sparsity, the group sparsity characteristic is fully utilized, the number of samples is effectively reduced, and the compression performance and the real-time performance are improved. According to the method, weighting operation is introduced, the sparsity of understanding is ensured, and the resolution and the estimation precision can be effectively improved.

Description

technical field [0001] The invention belongs to the technical field of signal processing, and in particular relates to the direction of arrival estimation of radar signals, acoustic signals and electromagnetic signals, in particular to a method for estimating direction of arrival of weighted broadband array signals based on group sparseness, which can be used for signal positioning and target detection . Background technique [0002] Direction of Arrival (DOA) estimation is a very important research direction in the field of array signal processing. Its basic principle is to use array antennas to receive airspace signals, and to process the received signals through statistical signal processing techniques and various optimization methods. To recover the direction information of the incoming signal, which plays an important role in the fields of radar, sonar, voice and wireless communication. [0003] Nowadays, the DOA method based on narrowband array signal has been relativ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S3/14
CPCG01S3/14
Inventor 吴晓欢姜媛媛朱卫平颜俊
Owner NANJING UNIV OF POSTS & TELECOMM
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