Integration device based on signal detection algorithm

Abstract

The present invention discloses an integration device based on a signal detection algorithm. The device comprises a matrix and matched filter calculation module for obtaining a first matrix, a matched filtering vector and a second matrix, a pre-processing module for obtaining a parameter matrix, a first vector and an effective channel gain according to the first matrix, the matched filtering vector and the second matrix, an iteration module for carrying out iteration through the parameter matrix and the first vector to obtain a detection result vector, and a maximum log likelihood ratio calculation module which obtains a maximum log likelihood ratio through the detection result vector and the effective channel gain. The super-large-scale special integrated circuit structure based on large-scale multiple-input and multiple-output design of the integration device based on a signal detection algorithm has the advantages of large data throughput, fast computing speed, and low power consumption.

Description

technical field [0001] The invention relates to the technical field of communication, in particular to an integrated device based on a signal detection algorithm. Background technique [0002] With the development of communication technology, spectrum resources become more and more scarce. How to enable data to be transmitted more and faster is an urgent problem to be solved at present. [0003] In related technologies, multiple data streams are simultaneously transmitted in the same frequency band through a large-scale MIMO system. Although the problem of multiple data streams is solved, the transmission rate of multiple data streams has not been effectively improved. Nowadays, in order to increase the data transmission rate, it is usually improved from the perspective of algorithm and implementation. From the perspective of algorithm, the more commonly used methods are zero-forcing detection (ZF), minimum mean square error (MMSE), and spherical decoding ( SD), etc. These...

AI Technical Summary

Problems solved by technology

However, from the perspective of implementation, although these algorithms can be run on a general-purpose processor by writing a detection program, the data transmission efficiency is low, which cannot well meet the needs of wireline communication.

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