Summary
International Conference on Emerging Technologies for Communications
2020
Session Number:C4
Session:
Number:C4-1
A study on window function and window width of STFT in collision signal separation and demodulation method using stored batch signal processing
Toru Nishiyama, Takuyuki Hirakawa, Syo Nakaie, Shigeru Tomisato, Satoshi Denno, Kazuhiro Uehara,
pp.-
Publication Date:2020/12/2
Online ISSN:2188-5079
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Summary:
In this paper, in order to establish the storage batch signal processing technology on the network, the method of separating the IoT / M2M terminal signal that collided or interfered and the method of demodulating the data after signal separation, which cannot be realized by the conventional receivers. We proposed a method of signal separation by feature quantity extraction using short-time Fourier transform and the method of using the obtained feature quantity for demodulation. Furthermore, we change the window function and window width of the short-time Fourier transform and perform computer simulation to confirm the effect of the window function and window width on the signal separation performance.