Open AccessAn Improved PMF-FFT Algorithm Based on Hamming Window
Author(s) -
Lingfeng Cheng,
Shuyan Ni,
Shimiao Chen
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2093/1/012037
Subject(s) - fast fourier transform , computer science , algorithm , window function , interference (communication) , prime factor fft algorithm , signal (programming language) , split radix fft algorithm , sliding window protocol , rocket (weapon) , doppler effect , hamming code , window (computing) , filter (signal processing) , telecommunications , mathematics , engineering , fourier transform , physics , computer vision , channel (broadcasting) , fourier analysis , aerospace engineering , mathematical analysis , decoding methods , block code , operating system , programming language , short time fourier transform , astronomy
When the rocket uses low-orbit satellite space-based measurement and control, due to the relatively large Doppler shift in relative motion, a spread spectrum system is needed to improve anti-interference; the spread spectrum signal under high dynamic conditions often uses partial matched filtering based on FFT (PMF-FFT) algorithm, but due to the introduction of FFT, this algorithm has serious scallop loss, which affects the system’s capture performance. Through the improved method of adding a Hamming window to the system, theoretical analysis and simulation show that it effectively suppresses scallops. Loss has a certain meaning for the acquisition of spread spectrum signals.