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Non-iterative mixed signal source positioning method based on rank loss

A mixed signal and signal source technology, applied in positioning, complex mathematical operations, measuring devices, etc., can solve problems such as poor reliability

Active Publication Date: 2019-09-27
XI AN JIAOTONG UNIV
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Problems solved by technology

[0003] At present, there are some high-order statistical methods and cyclostationary methods for solving the problem of locating mixed far and near field signal sources, but these methods have a high amount of calculation and can only be applied to non-Gaussian signal sources or cyclostationary signal sources positioning; other second-order statistics and matrix difference methods need to estimate the energy of the signal source through the properties of the oblique variance matrix of the signal source, which can only be applied to the signal source positioning of a large number of snapshots; and some oblique projection method was proposed. In this method, when the number of snapshots is not large enough, the off-diagonal influence and the misestimation of the oblique projection operator often cause saturation behavior, although the LOFNS method can eliminate this by a strategy of exchange iteration. A phenomenon of saturation behavior, but this iterative process does not always guarantee convergence, and the reliability is poor

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  • Non-iterative mixed signal source positioning method based on rank loss
  • Non-iterative mixed signal source positioning method based on rank loss
  • Non-iterative mixed signal source positioning method based on rank loss

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Embodiment

[0099] A non-iterative mixed signal source location method based on rank loss in an embodiment of the present invention includes:

[0100] Angle of Arrival Estimation for Mixed Signals:

[0101] First, from Estimation of DOA of mixed near-field and far-field signals from array element receiving signals and distance From formulas (6) to (8), it can be seen that the DOA of the mixed signal near-field signal and far-field signal to be estimated and distance can pass a f (θ k ) and a n (θ k ,r k )get. For a uniform symmetrical linear array, the present invention takes the central array source as a reference matrix, and a of the array f (θ k ) and a n (θ k ,r k ) can be expressed as:

[0102] a f (θ k )=D(θ k )b f (9)

[0103] a n (θ k ,r k )=D(θ k )b n (10)

[0104] Among them, b f and b n is a (M+1)×1 vector, and b f = 1,

[0105] D(θ k ) is a (2M+1)×(M+1) matrix,

[0106] Second, construct the array skew variance matrix as:

[0107] ...

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Abstract

The invention discloses a non-iterative mixed signal source positioning method based on rank loss, and the method comprises the following steps of receiving and acquiring receiving data of a mixed signal source to be positioned through an array; calculating the estimated value of a covariance matrix R from the received data, calculating the direction of arrival angles of a near-field signal source and a far-field signal source in a mixed signal source, calculating the distance between the near-field signal source and the far-field signal source in the mixed signal source and classifying the mixed signal source into the far-field signal source and the near-field signal source; when the estimated value is obtained, the signal source is considered to be the near-field signal source, and K2 near-field signal sources are estimated; and obtaining far-field signal source candidates according to the estimated signal direction of arrival angle and distance of the near-field signal sources, and obtaining the direction of arrival angles of K1 far-field signal sources by utilizing a direction of arrival selection strategy. According to the method, the far-field and near-field mixed narrowband signals are positioned by utilizing second-order statistics of array data, and meanwhile, the saturation behavior in signal source positioning is overcome by a non-iterative method.

Description

technical field [0001] The invention belongs to the technical field of array signal processing, and in particular relates to a non-iterative mixed signal source positioning method based on rank loss. Background technique [0002] Source localization of narrowband signals is a basic problem in array signal processing applications. In many application scenarios, near-field signals and far-field signals exist at the same time, and the positioning of near-field signal sources and far-field signal sources in mixed signals is very important. [0003] At present, there are some high-order statistical methods and cyclostationary methods for solving the problem of localization of mixed far and near field signal sources, but these methods have a high amount of calculation and can only be applied to non-Gaussian signal sources or cyclostationary signal sources positioning; other second-order statistics and matrix difference methods need to estimate the energy of the signal source thro...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S5/00G06F17/16G06F17/15
CPCG01S5/00G06F17/15G06F17/16
Inventor 辛景民左炜亮武佳懿郑南宁
Owner XI AN JIAOTONG UNIV
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