Matrix-filtering-based sparse asymptotic minimum variance direction-of-arrival estimation method

A technology of orientation estimation and minimum variance, which is applied in the field of signal processing, can solve the problems of SpSF-MF algorithm failure, difficulty in parameter selection, damage, etc., and achieve the effect of avoiding the selection of regular parameters, suppressing strong interference signals, and enhancing practicability

Active Publication Date: 2019-01-01
NORTHWESTERN POLYTECHNICAL UNIV
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Problems solved by technology

However, the SpSF-MF algorithm needs to provide a regular parameter when solving the solution. Because the selection of this parameter is usually difficult, it is difficult to apply SpSF-MF in actual signal processing.
In addition, the array manifold will change after the interference passes through the m

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  • Matrix-filtering-based sparse asymptotic minimum variance direction-of-arrival estimation method
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Embodiment Construction

[0039] Now in conjunction with embodiment, accompanying drawing, the present invention will be further described:

[0040] The technical solution adopted by the present invention to solve its technical problems comprises the following steps:

[0041] 1) Establish a receiving signal model

[0042] The M-element uniform linear array with array element spacing d is used as the receiving array to receive the radiated noise of the underwater target. Each sensor on the uniform line array converts the received underwater acoustic signal into an electrical signal, and obtains a discrete time-domain signal through an amplification circuit and a data collector x i (n), 0≤n≤N, i=1,...,M. The received time-domain signal is converted into an analytical signal through Hilbert transform, and evenly divided into N segments. Considering that radiation noise is generally a broadband signal, it is usually converted into a narrowband signal for processing. Therefore, it is necessary to perfor...

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Abstract

The invention relates to a matrix-filtering-based sparse asymptotic minimum variance direction-of-arrival (DOA) estimation method. A matrix filter is used as a preprocessor to process an array receiving signal, so that a strong interference signal is suppressed and thus a phenomenon that a weak target is shielded by the strong interference signal or the positioning precision of the weak target bythe subsequent DOA estimation algorithm is affected by the strong interference signal is avoided. DOA estimation is carried out base on a sparse asymptotic minimum variance (SAMV) algorithm, so that the high-resolution performance is kept under the circumstances of small snapshot and low signal-to-noise ratio and a direction-of-arrival estimation problem of a coherent signal is solved. Meanwhile,the algorithm only needs to provide a threshold value eta of iterative stopping, thereby avoiding selection of regular parameters and enhancing the practicability of the algorithm. Besides, while thearray manifold change of the interference destroys the structure of the covariance matrix, the DOA estimation of the weak target signal still can be realized by the SAMV algorithm.

Description

technical field [0001] The invention relates to the fields of signal processing and the like, and relates to a sparse approximate minimum variance orientation estimation method based on matrix filtering, which is applicable to the orientation estimation of weak target signals in a strong interference environment, and relates to the fields of signal processing and the like. Background technique [0002] Passive sonar is an effective tool for underwater target orientation (Direction of Arrival, DOA) estimation. Unlike active sonar, which transmits signals autonomously and detects targets by receiving reflected echoes, passive sonar detects targets by receiving ship radiation noise, so it has better concealment. However, when there is a strong interference sound source such as tugboat noise around the target signal, the strong interference sound source will affect the positioning accuracy of the DOA estimation algorithm for the weak target signal and even mask the weak target s...

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Application Information

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IPC IPC(8): G01S7/539
CPCG01S7/539
Inventor 杨益新张亚豪
Owner NORTHWESTERN POLYTECHNICAL UNIV
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