Genetic optimization method for space-time channel MIMO wireless transmission system

Abstract

The invention relates to communication technology. The invention aims to distinctively improve data transmission rate, system capacity and frequency spectrum efficiency of a MIMO system and provides a genetic optimization method for a space-time channel MIMO wireless transmission system. The technical scheme generally includes input baseband signals are received and the baseband signals are sent to corresponding virtual channel vector modules; each virtual channel vector module performs reweighing operation on the input baseband signals according to a set reweighing value and all the baseband signals subjected to reweighing are combined and conveyed to a corresponding signal transmitting end for sending; a feedback information receiving end receives feedback information sent from a system receiving end in real time and sends the feedback information to a space-time optimization module; the space-time optimization module adopts a space-time optimization algorithm for calculating the reweighing values in the virtual channel vector modules according to the received feedback information and setting the reweighing values. The method provided by the invention has a beneficial effect of improving data transmission rate and is suitable of the MIMO system.

Description

technical field [0001] The invention relates to communication technology, in particular to MIMO wireless transmission technology. Background technique [0002] MIMO (Multiple Input Multiple Output) technology uses the wireless channel formed by the different spatial positions of the transmitting end and the receiving end to transmit multiple data streams in parallel, which can significantly improve the data transmission rate and system capacity of the wireless communication system. It is a modern wireless communication technology. It is an important development direction of technology and has broad application prospects. [0003] For the system block diagram of the existing MIMO system, see figure 1 , whose transmitter has N T Input baseband data stream x 1 (t),x 2 (t),..., and N T root transmitting antenna (N T =1,2,...),x m (t)∈{±1}(m=1,2,...,N T ); each data stream x m (t) After radio frequency modulation, it becomes a high-frequency signal, and then amplified ...

AI Technical Summary

Problems solved by technology

However, in practical applications, the increase in the number of antennas is often restricted by factors such as cost and space scale, thus limiting the improvement of system performance. The improvement of transmission rate, system capacity or performance is very limited and not ideal, which is a shortcoming of existing technical solutions

In addition, there is often a correlation between wireless channels, and the correlation of the channels will obviously weaken the performance of the MIMO system, making it difficult to exert its potential advantages. This is another shortcoming of the existing technical solutions

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