Maximum likelihood simplified detecting method for multi inputting and multi outputting antenna system space division multiplexing

Abstract

A ML simplified detecting method of space division multiplexing in multi-input / multi-output antenna system includes finding out a sending antenna with maximum modulation system when channel parameter is known, carrying out ML exhaustion search on modulation constellation of the other sending antenna then subtracting influence of these antenna signals in received signal and using IF algorithm to demodulate antenna with maximum modulation system, corresponding each ML exhaustion search to one IF demodulation result, finding out an optimum combination and using it as demodulation signal of sending antenna.

Description

technical field [0001] The invention relates to a detection method of a mobile communication link in multiple input multiple output (MIMO) antenna data multiplexing transmission mode. Background technique [0002] With the development of communication technology and people's requirements for high-speed data communication, MIMO technology has been applied. Because in MIMO, multiple different data streams are sent out from different antennas, and multiple antennas at the receiving end receive and demodulate the data, this multiplexing-based space division multiple access method can double the spectrum efficiency. [0003] The reception detection methods of MIMO multiplexing include linear detection, maximum likelihood (ML) detection, etc., and linear detection methods include zero-forcing (ZF) detection, MMSE detection, etc. Compared with ML detection, these detection methods are implemented It is simpler, but its performance is far inferior to ML detection, and when the numb...

AI Technical Summary

Problems solved by technology

[0003] The reception detection methods of MIMO multiplexing include linear detection, maximum likelihood (ML) detection, etc., and linear detection methods include zero-forcing (ZF) detection, MMSE detection, etc. Compared with ML detection, these detection methods are implemented Simpler, but its performance is far inferior to ML detection, and when the number of transmitting antennas and receiving antennas is the same, its spatial diversity is only 1

ML detection can obtain a small bit error rate, and when the number of receiving days is greater than the number of transmitting antennas, its spatial diversity is the number of receiving antennas; in addition, there are some nonlinear detection methods, such as spherical decoding detection, lattice Simplified auxiliary (LRA) detection, continuous interference cancellation (SUC) and other detection methods, compared with ML detection and linear detection, these methods reflect a certain degree of compromise in terms of complexity and performance

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