Coherent gain processing method based on sparse array

Abstract

The invention provides a coherent gain processing method based on a sparse array, and the method comprises the steps: selecting a proper sparse array to carry out the sparse representation of an equal-interval half-wavelength linear array according to a given number of detection array elements and design requirements; a sparse array is optimally designed by selecting sub-array elements, and the optimal sparse array performance under the same number of array elements is obtained; performing conjugate product processing on the beam pattern expressions of the two sub-arrays of the sparse array; and performing coherent processing on the outputs of the two sub-arrays to obtain a final output beam pattern. The sparse characteristic of the sparse array is utilized, and the number of detection array elements is effectively reduced; the sparse array sub-array element combination is screened, so that the sparse array performance is optimal; the main lobe width of the sparse array beam pattern is close to that of the uniform linear array, so that relatively good detection resolution is ensured; when target detection is carried out, the array gain which is the same as that of a uniform linear array under the same aperture can be realized, and a constant output signal-to-noise ratio can be met in different noise environments.

Description

Technical field [0001] The present invention belongs to the field of underwater acoustic array signal processing, and in particular to a coherent gain treatment method based on a sparse array. Background technique [0002] When the water acoustic data is acquired by the aqueous hearing array, the component distribution is usually equal, in order to avoid the beam formation blur, the variation element spacing is less than or equal to half of the single-frequency signal wavelength. In array signal processing, the larger the aperture of the array, the higher the spatial resolution. Therefore, under the condition of the spacing pitch, in order to obtain high resolution to the target, it is necessary to be as large array apertures as much as possible, and the corresponding needle, which improves hardware cost, and causes increased computing complexity. . Therefore, it is possible to obtain a beam pattern similar to a homogenous line with a smaller linear resolution using fewer chalets...

AI Technical Summary

Problems solved by technology

Therefore, under the condition of a certain array element spacing, in order to obtain a high resolution capability for the target, the array aperture is required to be as large as possible, and a large number of array elements are required accordingly, which not only increases the hardware cost, but also increases the computational complexity.

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