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

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.