US 12,282,092 B2
Method for detecting moving target based on spatial slices of transformed spatio-temporal frequency space
Shengchun Piao, Harbin (CN); Yunjia Shi, Harbin (CN); Junyuan Guo, Harbin (CN); and Minghui Zhang, Harbin (CN)
Assigned to HARBIN ENGINEERING UNIVERSITY, (CN)
Filed by Harbin Engineering University, Harbin (CN)
Filed on Mar. 13, 2023, as Appl. No. 18/120,609.
Claims priority of application No. 202210426030.3 (CN), filed on Apr. 22, 2022.
Prior Publication US 2023/0341547 A1, Oct. 26, 2023
Int. Cl. G01S 15/50 (2006.01); G01S 15/88 (2006.01); G06F 17/11 (2006.01)
CPC G01S 15/50 (2013.01) [G01S 15/88 (2013.01); G06F 17/11 (2013.01)] 18 Claims
OG exemplary drawing
 
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 τp in step 1, wherein N=T0·fs;
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(τp) 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.