Open AccessResearch on Sidelobe Suppression Method in LFM Pulse Compression Technique
Author(s) -
Guofu Wang,
Tiantian Tang,
Jincai Ye,
Faquan Zhang
Publication year - 2019
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/677/5/052104
Subject(s) - pulse compression , side lobe , signal (programming language) , sensitivity (control systems) , filter (signal processing) , matched filter , pulse (music) , matlab , compression (physics) , resolution (logic) , window function , computer science , acoustics , control theory (sociology) , physics , optics , algorithm , electronic engineering , telecommunications , engineering , radar , computer vision , control (management) , artificial intelligence , detector , antenna (radio) , thermodynamics , programming language , operating system
System sensitivity and range resolution are a pair of contradictory performance during target detection. In this paper, pulse compression is used to resolve the contradiction between range resolution and sensitivity. A frequency leak occurs in the compressed signal, so that weak targets of the matched filter output may be masked by adjacent strong target side lobes. It is common to suppress the side lobes by adding a window function. Through MATLAB simulation, it is found that when the signal-noise ratio is large, after adding the window function, the small target submerged by the large target side lobes cannot be detected. In this paper, an adaptive pulse compression (APC) technique based on minimum mean square error (MMSE) is used to suppress side lobes. The simulation proves that APC algorithm suppresses side lobes more effectively.