Study of Signal Separation and Demodulation Techniques Considering IQ Imbalance by Stored Data Batch Signal Processing

IF 0.3 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC IEICE Communications Express Pub Date : 2024-11-12 DOI:10.23919/comex.2024XBL0173
Yudai Mita;Yuta Hiraoka;Tomofumi Hikasa;Shigeru Tomisato;Satoshi Denno;Kazuhiro Uehara
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Abstract

With the arrival of the IoT era, the problem of interference has become even more serious, and the challenge is to establish techniques for separating and demodulating collide signals. To achieve this, we are conducting research on stored data batch signal processing technology using short-time Fourier transform (STFT). In this paper, we used a feature quantity demodulation method proposed as a method for stored data batch signal processing to evaluate the effect of IQ imbalance, which is a factor in signal degradation in the transmitter, on signal separation and demodulation performance. Furthermore, we proposed a receiver configuration that estimates the amount of degradation due to IQ imbalance from the extracted feature quantities and compensates for the signal degradation. Computer simulation results confirmed that the proposed compensation method can improve signal separation and demodulation performance when degraded by IQ imbalance.
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存储数据批处理中考虑IQ不平衡的信号分离解调技术研究
随着物联网时代的到来,干扰问题变得更加严重,建立分离和解调碰撞信号的技术是一个挑战。为了实现这一目标,我们正在研究使用短时傅里叶变换(STFT)的存储数据批处理技术。本文采用一种特征量解调方法作为存储数据批量信号处理的方法,来评估IQ不平衡对信号分离和解调性能的影响,IQ不平衡是发射机信号退化的一个因素。此外,我们提出了一种接收器配置,可以从提取的特征量中估计由于IQ不平衡引起的退化量,并对信号退化进行补偿。计算机仿真结果表明,在IQ不平衡导致信号分离和解调性能下降的情况下,所提出的补偿方法能够改善信号分离和解调性能。
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来源期刊
IEICE Communications Express
IEICE Communications Express ENGINEERING, ELECTRICAL & ELECTRONIC-
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33.30%
发文量
114
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