The invention discloses an
underwater target identification method based on a single-vector
hydrophone, and belongs to the field of
underwater target identification methods of single-vector hydrophones. An existing single-vector
hydrophone can only measure the arrival angle of an
underwater target and cannot measure other key parameters such as distance and speed, and application scenes are limited. And the performance of the single-vector
hydrophone is greatly influenced by the environment. The method comprises the following steps: receiving a micro-motion Doppler
signal through a hydrophone, and carrying out
signal processing operations of filtering,
feature extraction and target classification on the
signal through a QT
image processing library; micro-Doppler
feature extraction is carried out based on empirical mode
decomposition and a CLEAN
algorithm; and combining the asynchronous transmission characteristics of the FIR filter pre-
CUDA, designing an FIR filter
parallel algorithm, and completing task execution of a serial program and a parallel program by adopting lake
test data. The method not only has the combination of accurate analysis, real-time performance and high precision of micro-dynamic characteristics, but also has the characteristics of target classification and identification capability, anti-interference capability, robustness, expansibility, adaptability and the like.