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面向空间复用系统的抗干扰空频自适应均衡方法

Translated title of the contribution: An Adaptive Space-Frequency Anti-Interference Equalization Method for Spatial Multiplexing Systems
  • Xi'an Jiaotong University
  • Ltd.

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Aiming at the problem that the mutual interferences among different antennas from the desired user in the spatial multiplexing system reduce the communication quality, a new adaptive space-frequency anti-interference equalization method is proposed. Firstly, signals to be transmitted are sent to the receive antennas in the form of spatial multiplexing at the transmitter; Then, the adaptive equalizer is first designed based on the minimum mean square error (MMSE) criterion by exploiting the pilot signal received by each receive antenna; Finally, parameters estimated from the designed adaptive equalizer are used to detect the data through iterative optimization. In the process of parameter estimation, the proposed method makes use of the mutual interferences among different antennas from the desired user rather than attempts to completely remove them, thereby reducing its impact on system performance. Simulation results show that the proposed method can achieve significant gain in performance over the traditional adaptive space-time or space-frequency equalization methods. When the bit error rate is 10-5, the proposed method achieves around 2.5 dB performance gain as compared with the existing competitors. Moreover, in the presence of interference, the proposed method also exhibits much stronger anti-interference capability compared with existing schemes, and there is no obvious performance platform.

Translated title of the contributionAn Adaptive Space-Frequency Anti-Interference Equalization Method for Spatial Multiplexing Systems
Original languageChinese (Traditional)
Pages (from-to)93-100
Number of pages8
JournalHsi-An Chiao Tung Ta Hsueh/Journal of Xi'an Jiaotong University
Volume55
Issue number8
DOIs
StatePublished - 10 Aug 2021

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