Open AccessResearch on Digital Pulse Compression Technology of Overlapping Data Splicing
Author(s) -
Ping He
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/799/1/012041
Subject(s) - pulse compression , computer science , segmentation , data compression , signal (programming language) , matched filter , sonar , compression (physics) , filter (signal processing) , pulse (music) , computer vision , artificial intelligence , digital signal processing , digital data , data transmission , computer hardware , telecommunications , physics , radar , detector , thermodynamics , programming language
Digital pulse compression technology is an effective technology to solve the contradiction between the maximum operating distance and the range resolution of sonar. However, in practical application, when the amount of data to be processed is large and the segmented processing is needed, the data segmentation may be unreasonable, resulting in the weak peak value of the signal after pulse compression, thus affecting the detection results. This paper introduces a method of overlapping data splicing. By improving the correlation between signal and matched filter, the problem of unreasonable data segmentation is effectively solved.