A Study on Continuous Phase Signal Separation and Demodulation Method Using Stored Data Batch Signal Processing

Tomofumi Hikasa; Takuyuki Hirakawa; Syo Nakaie; Shigeru Tomisato; Satoshi Denno; Kazuhiro Uehara

doi:10.1587/comex.2022COL0020

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A Study on Continuous Phase Signal Separation and Demodulation Method Using Stored Data Batch Signal Processing

Tomofumi Hikasa, Takuyuki Hirakawa, Syo Nakaie, Shigeru Tomisato, Satoshi Denno, Kazuhiro Uehara

著者情報

キーワード: Stored data batch signal processing, IoT, M2M, Short-time Fourier transform, Signal separation, GMSK, D/U, Window function

ジャーナルフリー早期公開

論文ID: 2022COL0020

DOI https://doi.org/10.1587/comex.2022COL0020

この記事には本公開記事があります。

The final version of this article is now available: Vol. 11 (2022), No. 12 pp. 734-740

詳細

抄録

In this paper, we examine a signal separation method that restores the desired signal by multiplying the power component and phase component of the reference signal, which is an unmodulated signal with the same frequency as the center frequency of the desired signal. Gaussian-filtered minimum shift keying (GMSK) that has not been evaluated in previous studies for synchronous detection method and feature demodulation method. The signal separation performance of GMSK modulation was quantitatively evaluated by computer simulation. We also investigated how changes in the window function and D/U affect signal separation and demodulation. As a result, it was found that these effects can be reduced by using Hamming.

責任著者(Corresponding author)

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