MOVING OBJECT DETECTION METHOD IN REAL-TIME USING FMCW RADAR

摘要

The present invention relates to a moving object detection technique, and more particularly, to a real-time moving object detection method using a continuous wave radar that detects a moving object in real time using a Robust Principal Component Analysis through Gradient descent. An exemplary embodiment of the present invention provides a moving object detection method in real-time using FMCW radar comprising: collecting input data by extracting Fast Fourier Transform (FFT) information from a reflection signal received in a continuous wave radar in a detection region; preprocessing to perform compensation and correction on the collected input data; modeling a lower noise background using a Robust Principal Component Analysis through Gradient descents to separate a foreground moving objects corresponding to a noise background and a moving object from the preprocessed data; and detecting a position of a noise-free foreground moving objects by performing an Automatic Multiscale-Based Peak Detection (AMPD) after applying the Robust Principal Component Analysis (RPCA).