Calculating device, calculation program, recording medium, and calculation method
US-2024211530-A1 · Jun 27, 2024 · US
US12282092B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-12282092-B2 |
| Application number | US-202318120609-A |
| Country | US |
| Kind code | B2 |
| Filing date | Mar 13, 2023 |
| Priority date | Apr 22, 2022 |
| Publication date | Apr 22, 2025 |
| Grant date | Apr 22, 2025 |
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The present disclosure belongs to the field of underwater target detection, and in particular, to a method for detecting a moving target based on spatial slices of transformed spatio-temporal frequency space. The method includes: segmenting a target radiated acoustic signal received by an M-element horizontal line array in an underwater acoustic environment with a low signal-to-noise ratio (SNR); performing N-point discrete Fourier transform (DFT) on the received signal on each array element in each period of time; performing frequency domain beamforming on an array signal after each section of DFT, and performing stacking after compensating a phase difference between arrays brought by an azimuth of each primitive element; performing coordinate transformation on a frequency-azimuth-time three-dimensional (3D) matrix space obtained; taking a slice from the obtained frequency-azimuth-time 3D space subjected to the coordinate transformation; and performing segmented Radon transform on the spatial slice obtained to detect the target.
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The invention claimed is: 1. A method for detecting a moving target based on spatial slices of transformed spatio-temporal frequency space, comprising the following steps: step 1: segmenting a target radiated acoustic signal s(t) received by an M-element horizontal line array in an underwater acoustic environment with a low signal-to-noise ratio (SNR); step 2: performing N-point discrete Fourier transform (DFT) on the received signal on each array element in each period of time τ p in step 1, wherein N=T 0 ·f s ; step 3: performing frequency domain beamforming on an array signal after each section of DFT in step 2, and performing stacking after compensating a phase difference between arrays brought by an azimuth α(τ p ) of each primitive element; step 4: performing coordinate transformation on a frequency-azimuth-time (f-α-t) three-dimensional (3D) matrix space obtained in step 3; step 5: taking a slice from the frequency-azimuth-time (f-cos θ-t) 3D space subjected to the coordinate transformation obtained in step 4; and step 6: performing segmented Radon transform on the spatial slice obtained in step 5 to detect the target. 2. The method for detecting a moving target based on spatial slices of transformed spatio-temporal frequency space according to claim 1 , wherein step 1 is specifically as follows: s m (τ p ,n )= s ((τ p −1) T b +n ) (1), where τ p =1,2, . . . , P, n= 1,2, . . . , T 0 f s , and m= 1,2, . . . , M , and P represents a number of segments into which data is divided, τ p represents a p-th segment of signal, T 0 represents a length of each segment of signal, in unit of second, T b represents a segmentation stride, in unit of second, f s is a sampling rate of the signal, τ p represents a slow time, n represents a fast time, and m is an array element number. 3. The method for detecting a moving target based on spatial slices of transformed spatio-temporal frequency space according to claim 1 , wherein step 2 is specifically as follows: s ( τ p . ω ) = 1 N ∑ n = 0 N - 1 A e i k → · r → 0 e i ω p τ p [ 1 e - i 2 π f 0 c d cos α ( τ p ) … e - i 2 π f 0 ( M - 1
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