Adaptive receiving method for multi-antenna orthogonal frequency division multiplexing system

Abstract

The invention discloses an adaptive receiving method for a multi-antenna orthogonal frequency division multiplexing system, and the method provided by the invention comprises the following steps: (1) detecting the size of the bandwidth distributed to a current user; (2) according to the size of the distributed bandwidth, confirming a detection algorithm: if the bandwidth is the minimum bandwidth, detecting by invoking a maximum likelihood detection method by a control unit; if the bandwidth is the maximum bandwidth, detecting by invoking a minimum mean-square error detection method by the control unit; and if the bandwidth is between the maximum and maximum bandwidths, detecting by using a mixing algorithm and combining with a subcarrier grouping, namely, partially using the maximum likelihood detection method and partially using the minimum mean-square error detection method. The method provided by the invention is characterized in that a partial multiplier comprises a summing unit, the summing unit is used in the maximum likelihood detection, the multiplier is used in the minimum mean-square error detection, and the hardware resource is saved. By using the method provided by the embodiment of the invention, the user acquires the excellent receiving capability in middle and small bandwidth application scenes according to a bandwidth adaptive selection detection algorithm by combining with the subcarrier grouping under the limited hardware resource condition, thereby fully utilizing the limited hardware resource.

Description

technical field [0001] The present invention relates to a detection method for a multiple-input multiple-output system, in particular to a multiple-antenna detection method applicable to a MIMO-OFDM (MIMO: Multiple Input Multiple Output, OFDM: Orthogonal Frequency Division Multiplexing) system. Background technique [0002] MIMO-OFDM system is the key technology of the third and fourth generation mobile communication, which can realize high-speed transmission and strong reliability. [0003] MIMO technology can make the capacity of the wireless link increase linearly with the number of transmitting antennas and receiving antennas. An effective way to achieve this capacity increase is the space division multiplexing of data streams. Space division multiplexing means that the system transmits multiple data streams in parallel within a time-frequency unit by means of the spatial dimension. Although aliasing will occur between multiple data streams, the receiver can still use s...

AI Technical Summary

Problems solved by technology

[0006] The maximum likelihood detection algorithm is to traverse all possible combinations of the transmitted symbols to seek the optimal detection result in the sense of probability. It is the detection algorithm with the best performance, but the hardware implementation is complicated.

The minimum mean square error detection algorithm obtained by the linear mean square estimation theory has low complexity and is easy to implement, but its performance is much worse than the optimal detection algorithm

When the user's hardware resources are fixed, if the same detection method is used under different bandwidth conditions, such as: if all subcarriers use the maximum likelihood detection algorithm, it will lead to an excessive increase in resources when the bandwidth is large; if all subcarriers Both use the minimum mean square error detection, which will waste a lot of resources when the bandwidth is small. Using a fixed detection algorithm cannot make reasonable use of resources when hardware resources are limited.

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