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Sub-space direction estimation method based on linear ambient noise model

A technology for environmental noise and azimuth estimation, which is applied in the fields of sonar signal processing and array signal processing.

Active Publication Date: 2019-03-29
NORTHWESTERN POLYTECHNICAL UNIV
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Problems solved by technology

The conventional beamforming algorithm is a scanning direction finding method based on conventional beamforming, which has the characteristics of simple structure and small amount of calculation, and the error of the environmental noise model has certain robustness. difference; the minimum variance distortion-free beamforming algorithm uses the CAPON adaptive beamformer to realize the output power spectrum estimation of the spatial scanning beam, and the spatial orientation resolution is better than the conventional beamforming algorithm, but the algorithm assumes that the noise model is a white noise model
S.D.Somasundaram studied the wideband robust minimum variance distortion-free beamformer design method (Somasundaram S D.Wideband Robust Capon Beamforming for Passive Sonar.IEEEJournal of Oceanic Engineering,2013,38(2):308-322.), and its The multi-target detection applied to passive sonar improves the spatial resolution of targets, but its noise model is still assumed to be a white noise model, and the performance of azimuth estimation under complex environmental noise conditions still needs to be tested

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  • Sub-space direction estimation method based on linear ambient noise model
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[0072] A 10-element hydrophone array is used to receive three point source signals in the far field, the signal azimuths are 55°, 80° and 90°, the distance between the array elements is half a wavelength, and the environmental noise is a spatially non-uniform noise environment, using conventional beamforming respectively Method, MUSIC method and the azimuth spectrogram of the method calculation target that the present invention provides, as attached figure 2 As shown, the MUSIC method is sensitive to the noise environment and has failed in this environment. The resolution of the conventional beamforming method is low, but the method provided by the present invention can accurately give the orientation of the three targets, and it is suitable for spatially non-uniform The effects of the noisy environment are the most robust.

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Abstract

The invention relates to a sub-space direction estimation method based on a linear ambient noise model. For an actual noise environment, because of influence of wind-generated noise and ship noise, spatial noise intensity distribution is non-uniform. A linear noise model is used for modeling. Fourier series expansion is performed on a spatial noise power distribution function. A finite item Fourier grade number is used for approximately fitting an ambient noise model. A signal subspace in a linear noise model condition is extracted. Orthogonality between the signal sub-space and the noise sub-space is utilized for obtaining direction estimation of a target.

Description

technical field [0001] The invention belongs to the fields of array signal processing, sonar signal processing, etc., and relates to a subspace orientation estimation method based on a linear environmental noise model. Background technique [0002] Direction of Arrival (DOA) based on sensor array has been widely used in sonar, radar and other fields. The high-resolution azimuth estimation of underwater and surface multi-targets by using a horizontally placed hydrophone array is an important content of underwater array signal processing, and it is also a key technology for underwater target detection and positioning. [0003] The sonar array is placed in the ocean environment, and the received signal of the array also includes the noise of the ocean environment in addition to the target signal. The ocean environment noise is the background field of the ocean sound field. The research purpose of the ocean environment noise can reduce or suppress the interference of the enviro...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S7/52G01S5/18
CPCG01S5/18G01S7/52
Inventor 杨龙杨益新
Owner NORTHWESTERN POLYTECHNICAL UNIV
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