A self-adaptation link selection method of multi-input and multi-output system

Abstract

The invention discloses a self-adapting link selecting method of multi-input and multi-output system, and the system receiver receives the signal and evaluates the transmission matrix, initializes and deletes the number of transmission matrix array vector of channel; lists the deleted k array combination in channel communication matrix, evaluates the information of communication channel in said combination, and judges that weather or not exists that the contrary row vector norm is less than the presetting threshold in combination, if yes, then chooses a set in combination as the result of adapting link, and method terminates; if no, and k is the number of columns of channel transmission channel and equal -1, then choose the combination with smallest contrary row vector as the result of adapting link, then the method terminates, else switches to next step and k is added 1, and keeps on searching to delete k array combination. The invention can improve the selecting speed, the accuracy and stability of result, and avoid that the judging criterion is hard to actualize on project and the disadvantage of poor selection.

Description

technical field [0001] The present invention relates to the field of wireless communication, in particular to a multiple-input multiple-output (MIMO) system self-adaptive link selection method in digital wireless communication, and specifically to a transmission antenna selection method in a multiple-input multiple-output wireless communication system method. Background technique [0002] In recent years, in the field of mobile communication, the application of multiple-input multiple-output (MIMO) technology for the purpose of efficient use of frequency and improvement of communication quality has attracted more and more attention. For multiple-input multiple-output wireless (MIMO) communication systems, by transmitting mutually independent signals on different antennas at the same time, that is, spatial multiplexing technology (Spatial Multiplexing), making full use of the dispersion characteristics of the spatial channel, it is possible to achieve a high data rate of the ...

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Problems solved by technology

[0007] However, the disadvantage of the above-mentioned patent application is that this method takes the maximum system capacity as the criterion for antenna selection, but this criterion is too ideal, because in order to reach or approach the capacity limit, the communication system needs to use nearly perfect coding and / or equalization and / or or continuous modulation, but the equalizer in the actual system cannot be ideal, and can only use limited coding and quantized modulation. Therefore, the maximum system capacity is used as the antenna selection criterion, and the performance in engineering applications and the theoretical performance There is a big difference

[0009] However, the disadvantage of the method described in the above-mentioned patent application is that it is difficult to implement the minimum bit error rate as the judgment criterion in practical engineering applications, because the bit error rate is a statistic, and the known signals that can be extracted from the received signal are not Many, for example, in the PHS system, the known signal defined in the TCH frame structure is only 28 bits, accounting for 11.7% of the entire TCH frame structure, so the error rate of a small segment of known signals can be inferred from the bit error rate band There is a lot of randomness and inaccuracy

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