A reduced complexity interference cancellation technique based on matrix decomposition for FTN signaling

FTN signaling is an alternative transmission technology, in this system, information carrying symbols can be sent faster than traditional Nyquist rate, thus interference (ISI) is inevitable in the receiver. Therefore, people proposed proposed Partial Decision Feedback Equalization (PDFE) to cancel the interference in the receiver. However, its computational complexity is very high because this method bases on QR decomposition. For this reason, this paper puts forward a novel interference cancellation technique to further improve the system performance with a lower complexity. From the simulation results, we can see that the novel method can give better performance than PDFE, and its complexity is very low because of the absence of QR decomposition.