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Super-resolution direction-finding error correction method for wideband signal based on spatial sparsity optimization

A wideband signal, sparse optimization technology, applied in directions such as direction finders using radio waves, direction finder, radio wave direction/bias determination systems, etc., can solve the problem that the correction method is not suitable for wideband signals.

Inactive Publication Date: 2017-10-10
HEILONGJIANG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In order to solve the problem that the existing correction method of array error is not applicable to wideband signal, the present invention

Method used

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  • Super-resolution direction-finding error correction method for wideband signal based on spatial sparsity optimization
  • Super-resolution direction-finding error correction method for wideband signal based on spatial sparsity optimization
  • Super-resolution direction-finding error correction method for wideband signal based on spatial sparsity optimization

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Experimental program
Comparison scheme
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specific Embodiment approach 1

[0078] A wideband signal super-resolution direction-finding error correction method based on spatial sparse optimization, including the following steps:

[0079] Step 1: Establish an array signal model that includes mutual coupling errors between array elements, array channel amplitude-phase inconsistency errors, and array element position errors:

[0080] When there are mutual coupling errors between array elements, array channel amplitude and phase inconsistency errors, and array element position errors in the array, the array output can be expressed as

[0081] X"'(f i )=A"'(f i ,α)S(f i )+N(f i )

[0082] =W (1) (f i )W (2) (f i )W (3) (f i ,α)·A(f i ,α)S(f i )+N(f i )

[0083] =W (1) (f i )W (2) (f i )A(f i ,α)S(f i )+Λ (3) (f i )w (3) (f i )+N(f i ), i=1,2,...,J (12)

[0084] =W (1) (f i )W (3) (f i ,α)·A(f i ,α)S(f i )+Λ (2) (f i )w (2) (f i )+N(f i )

[0085] =W (2) (f i )W (3) (f i ,α)·A(f i ,α)S(f i )+Λ (1) (f i )w (1) (...

specific Embodiment approach 2

[0143] The specific steps of establishing an array signal model that includes mutual coupling errors between array elements, array channel amplitude-phase inconsistency errors, and array element position errors described in step 1 of this embodiment are as follows:

[0144] Step 1.1: Build an ideal array signal model:

[0145] Such as figure 1 As shown, there are K far-field broadband signals s k (t), k=1,2,...,K, incident on the broadband uniform linear array composed of M omnidirectional array elements, the arrival direction is α=[α 1 ,…,α k ,…,α K ], the array element spacing is d; the far-field broadband signal s k (t), referred to as broadband signal s k (t);

[0146] Taking the first array element as the phase reference point, ideally, the output of the mth array element is expressed as

[0147]

[0148] in, Indicates the kth broadband signal s k (t) The delay of reaching the mth array element relative to its arrival at the phase reference point, c is the pr...

specific Embodiment approach 3

[0204] The expectation maximization method described in step 2 of this embodiment is used to determine w (1) (f i ), w (2) (f i ), w (3) (f i ), μ 2 (f i ) and δ l (f i ) The specific steps for iterative estimation are as follows:

[0205] In the E-step step in the expectation maximization method, the first Calculate the distribution function of

[0206]

[0207] The operator represents the expectation of the solution condition;

[0208] In the M-step step in the expectation maximization method, the distribution functions are obtained respectively Derivatives for each unknown parameter, that is, for Take extreme values ​​to solve for each unknown parameter;

[0209]

[0210]

[0211]

[0212]

[0213]

[0214] Let the above derivatives be 0 respectively, then the estimated value of each unknown parameter at the pth iteration can be obtained

[0215]

[0216]

[0217]

[0218]

[0219]

[0220] Where (p) represents the number o...

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Abstract

The invention discloses a wideband signal super resolution direction finding error correction method based on spatial domain sparse optimization, which relates to a method of correcting multiple array errors existing in wideband signal super resolution direction finding and aims at solving the problem that the existing array error correction method is not applicable to wideband signals. In view of the fact that mutual coupling between array elements, array channel amplitude and phase inconsistency and array element position errors coexist in the case of wideband signal super resolution direction finding, a corresponding optimization function is built by using signals at each frequency point, spatial domain sparseness of the signal is then used, iterative optimal processing is respectively carried out on the function at each frequency point, information at all frequency points is finally fused to estimate mutual coupling between array elements, array channel amplitude and phase inconsistency and array element position errors, and the above is used for correcting the array, and a signal arrival direction is estimated. The method is applicable to correction of multiple array errors existing in wideband signal super resolution direction finding.

Description

technical field [0001] The invention relates to a method for correcting various array errors existing in broadband signal super-resolution direction finding. Background technique [0002] Super-resolution direction finding is an important research content in array signal processing, and it is widely used in radar, Internet of Things and sonar. Conventional super-resolution direction finding methods need to accurately grasp the array flow pattern. However, in the actual direction finding system, there are often high-frequency oscillations, amplifiers, and channels of different lengths, etc., and sometimes accompanied by disturbances in the position of the array elements, resulting in the estimation of direction finding often accompanied by mutual coupling between array elements, array channel amplitude, etc. Phase inconsistency and array element position error, which directly lead to performance deterioration or even failure of many super-resolution direction finding methods...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01S3/14
CPCG01S3/143
Inventor 甄佳奇王志芳
Owner HEILONGJIANG UNIV