Blind multipath identification method and system for MIMO system based on weighted integrated clustering algorithm

Abstract

The invention relates to a blind multipath identification method for an MIMO system based on a weighted integrated clustering algorithm. The method comprises: multiple user sides sending communicationrequest signals to a base station; the user side adjusting the transmitting power of the user side based on the response signal fed back by the base station, so that the base station allows the communication request of the user side; the user side sending an information signal to the base station; the base station generating an input signal of a basic clustering algorithm based on the separated information signal, based on the output result of each basic clustering algorithm, the base station adaptively adjusting the weight of the output result of each basic clustering algorithm through the weighted integrated clustering algorithm, and identifying the path of the information signal of the user side according to the output of the weighted integrated clustering algorithm; and the base station combining the maximum ratio of each user side and decoding the information signal of each user side. According to the method, multipath identification can be stably and effectively carried out based on a weighted integrated clustering algorithm.

Description

technical field [0001] The present disclosure relates to the technical field of wireless communication, in particular to a blind multipath identification method and system for a MIMO system based on a weighted integrated clustering algorithm. Background technique [0002] As the user's demand for wireless communication data transmission is getting higher and higher, the application of high-quality wireless communication technology is increasingly required. In order to meet the high-speed and high-capacity data transmission requirements, multiple-input multiple-output MIMO technology (Multiple-InputMultiple-Output) It has received extensive attention from the market, especially for multi-user MIMO systems. Multi-user MIMO provides a Space Division Multiple Access (SDMA) architecture for wireless communication, and a multi-user MIMO system can provide great advantages over traditional point-to-point MIMO systems. In SDMA, multiple users transmit simultaneously using the same ...

AI Technical Summary

Problems solved by technology

However, there are two main problems with the third method: first, the transmitted signal is a special type rather than a general type, and second, it requires a large enough sample of received data, which is not suitable for ultra-reliable and low-latency communication (URLLC)

However, due to small-scale multipath fading and receiver noise can cause randomness, and each user has a transmission power limit that cannot be adjusted arbitrarily by the base station, some paths may be difficult to classify

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