The Research Of Non-orthogonal Detection Algorithm Based On Wavelet Waveform Entropy In 5G System

Non-orthogonal multiple access technology is a key technology used in 5G mobile communications,where multiple access interference cancellation is the main research content,and the user's grouping algorithm is the key technology in the serial interference cancellation algorithm.This paper studies the grouping technology,uses wavelet waveform entropy group(WWEG),and applies the grouping algorithm to different fields.Among them,the serial interference cancellation algorithm can significantly improve the detection effect of the signal;applied to the field of wavelet beamforming improve the resolution of wavelet beamforming.First,the angle domain grouping is achieved by wavelet low resolution decomposition.When performing wavelet decomposition on the received signal sequence,the waveform entropy is introduced to analyze the waveform change for the waveform of the low-resolution component.Received signals with similar angles are regarded as a signal at low resolution,which means that the signal is at an angle the domain characteristics are the same.When different signals are merged into the same signal with the change of resolution,there will be a large fluctuation in the waveform entropy.By detecting the sudden change of waveform entropy,the signal can be grouped.When decomposing the low-frequency component sequence of the wavelet,the waveform entropy at each scale of the wavelet is calculated in sequence.When the waveform entropy changes suddenly,the wavelet decomposition is stopped,and the angle at this scale is used as a grouping basis to divide the received signal into a grouping.Implementing adaptive grouping.Secondly,the grouping algorithm is applied to the serial interference cancellation algorithm.In the angle domain,a signal based on a small angle difference has a non-orthogonal characteristic in the angle domain.Through this grouping algorithm,the non-orthogonal signals will be grouped in the same group,and the non-orthogonal serial interference cancellation detection will be performed on the grouped signals.Simulation results show that the grouping algorithm improves the performance of the serial interference cancellation algorithm.Finally,the algorithm is applied to beamforming.When beamforming,the grouping scheme technique is adopted so that orthogonal signals in the signal angle domain are in different groups,and non-orthogonal signals are in the same group.If the angles of the signals are orthogonal,beamforming is used;if the angles of the group of signals are non-orthogonal,the non-orthogonal detection is performed on the group of signals by non-orthogonal methods,that is,the serial interference cancellation algorithm continues beamforming.Simulation results show that,compared with traditional orthogonal bearnforming,the lower resolution limit of existing wavelet beamforming is broken.The grouping algorithm proposed in this paper groups the signals from the angle domain.This grouping method combined with the non-orthogonal detection algorithm in the power domain can improve the performance of the algorithm.Simultaneously,simulation shows that the signals with uniform power distribution are divided into the probability that the power of the signals in the same group differ greatly is also relatively large,which also helps to improve the performance of the serial interference cancellation algorithm.In addition,the grouping algorithm can still continue after beamforming is completed,which improves the resolution of wavelet beamforming.