Method and device for soft-output fixed-complexity sphere decoding detection

Abstract

The invention discloses a method and a device for soft-output fixed-complexity sphere decoding (SFSD) detection. The method comprises the following steps: QR decomposition is performed on a channel response matrix H to obtain a Q matrix and an R matrix; the conjugate transpose QH of the Q matrix is multiplied by a received signal to obtain an equilibrium signal of the received signal; maximum likelihood (ML) path detection is performed on the equilibrium signal, a method in which all nodes of a top layer are reserved and the number of reserved nodes of other layers are progressively decreased layer by layer is adopted so as to obtain an ML path, and the same number of branches as the number of times of iteration are reserved; ML complementary set path detection is performed on the branches, and a method in which all nodes of a desired complementary set layer are reserved and the number of reserved nodes of other layers are progressively decreased layer by layer is adopted so as to obtain an ML complementary set path; and likelihood ratio (LLR) information of each bit of each symbol of each layer is acquired according to the ML path and the ML complementary set path. According to the invention, detection performance close to ML performance can be acquired for MIMO with more than two layers, and the currently acceptable hardware implementation complexity can be achieved.

Description

technical field [0001] The present invention relates to multiple-input multiple-output (Multiple-Input Multiple-Out-put, MIMO) detection technology in wireless communication, in particular to a soft-output fixed-complexity sphere decoding (Soft-output Fixed-complexity Sphere Decoding, SFSD) detection Methods and Apparatus. Background technique [0002] In the 3rd Generation Partnership Project (3rd Generation Partnership Project, 3GPP) Long Term Evolution (Long Term Evolution, LTE) technology enhancement (LTE-Advanced, LTE-A) system, multi-layer MIMO transmission is used to achieve high spectral efficiency. The corresponding receiver needs to detect multi-layer MIMO to obtain demodulated data. [0003] There are many methods for MIMO detection. Since the performance of Sphere Decoding (SD) detection can approach the optimal performance, namely the maximum likelihood (Maximum Likelihood, ML) performance, in order to obtain the optimal performance, it is acceptable In the ca...

AI Technical Summary

Problems solved by technology

Although the optimal ML performance can be achieved in this way, the complexity is not fixed. When the channel changes randomly to a certain situation, the complexity is extremely high and it is not easy to implement.

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