Alternative iterative beam forming detector for full-duplex relay system

Abstract

The present invention discloses an alternate iterative beam forming detector for a full-duplex relay system. The detector utilizes beam forming reception based on a minimizing mean square error to suppress self-interference of a relay terminal. At the same time, the detector utilizes a transmission beam forming matrix based on the minimizing mean square error to reduce leakage of the relay transmission signal to the relay receiver. Then, an iterative structure is introduced to the above two, so that the beam forming matrix is further optimized to improve the performance of the sum data rate and the error rate.

Description

technical field [0001] The invention relates to the field of wireless communication, in particular to an alternate iterative beamforming detection method for a full-duplex relay system. Background technique [0002] Because the full-duplex wireless relay station can provide relatively wide geographical coverage and high spectrum efficiency for mobile communication systems, it has attracted the attention of many scholars. Since the end-to-end transmission of the full-duplex relay only needs one channel, that is, the full-duplex relay system allows the relay to transmit and receive signals at the same frequency at the same time, so the spectral efficiency is doubled compared with the half-duplex relay. However, due to the signal leakage between the relay receiving and receiving ends, the problem of self-interference occurs, which seriously deteriorates the performance of the relay system and reduces the channel capacity of the system. Therefore, the challenge of realizing the ...

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Problems solved by technology

Physical isolation between antennas can only suppress part of the self-interference, and time-domain cancellation is not suitable for MIMO relay systems due to high computational complexity. Therefore, we mainly discuss spatial suppression techniques

Several existing classical self-interference elimination algorithms include the null space projection algorithm and the maximum signal-to-interference ratio algorithm, and the performance of the maximum signal-to-interference ratio algorithm is better than the zero-forcing algorithm, but this algorithm does not consider the noise influences

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