The invention discloses a low-slow
small target detection and data fusion method based on 5G signals, and relates to a low-slow
small target detection and data fusion method. The invention aims to solve the problems of low detection precision and difficulty in effective identification and tracking of the low-slow
small target in the prior art. According to the invention, a 5G
signal retroreflection detection
system with separated transmitting end and receiving end is constructed,
direct wave and
multipath interference are eliminated by using 5G
signal code division multiple access characteristics, and target position and speed information are obtained through two-dimensional matched filtering and two-dimensional sliding correlation
processing; a 5G
base station forward scattering detection
system is established, and target detection is realized by analyzing target forward scattering
signal characteristic parameters according to the Babinet principle; a specific data fusion
algorithm is adopted to carry out fusion
processing on heterogeneous data obtained by backward reflection and forward scattering, and accurate information such as target position, speed, attribute and the like is output. The invention belongs to the technical field of low-slow small target detection.