Wavelet resolution processing method based on angle entropy

Abstract

The invention discloses a wavelet resolution processing method based on angle entropy. The wavelet resolution processing method comprises the following steps: receiving multiple groups of signals sentby a base station; judging whether the angle interval of the DOA (direction of arrival) of the first signal and the DOA of the second signal in the multiple groups of signals is smaller than 4 degrees or not, and if so, dividing the first signal and the second signal into one group by adopting angle entropy; and judging whether the power ratio of the grouped first signal to the grouped second signal is 5:5 or 6:4, and if not, distinguishing the first signal and the second signal by adopting a serial interference cancellation detection algorithm. According to the method, grouping is carried out according to the angle entropy, the number of users in each group is reduced, the defect that a traditional wavelet beam forming algorithm cannot be distinguished under the condition that the anglesare close is overcome, an existing wavelet beam forming algorithm is improved, and the resolution of the direction of arrival is improved.

Description

technical field [0001] The invention relates to the field of wireless communication, in particular to a wavelet resolution processing method based on angle entropy. Background technique [0002] With the increase in the number of end users and the rapid development of mobile services such as the Internet of Things, the demand for various application fields of wireless networks has shown explosive growth, so wireless communication systems put forward higher requirements for capacity and spectrum utilization. The traditional orthogonal multiple access method is difficult to provide a sufficient number of access users, so non-orthogonal multiple access (NOMA) technology is increasingly used, such as 5G mobile communication systems. However, the non-orthogonal characteristics lead to serious multiple access interference in signal detection compared with the orthogonal signal system, so non-orthogonal multiple access technology is generally used in the power domain, through SI se...

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Problems solved by technology

However, the non-orthogonal characteristics lead to serious multiple access interference in signal detection compared with the orthogonal signal system, so non-orthogonal multiple access technology is generally used in the power domain, through SI serial interference cancellation detection (SIC) Or Parallel Interference Cancellation (PIC) algorithm for signal detection. Both algorithms have their own advantages and disadvantages. At present, the SIC algorithm is favored because of its simplicity and easy implementation, and has become the preferred solution for non-orthogonal multiple access detection technology. When the number of users is large, due to the cumulative effect of detection errors, the error will become larger and larger, so it is not suitable for occasions with a large number of users

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