MIMO blind equalization algorithm based on successive interference cancellation

Yongjun Sun (), Fanli Wang, Dongmin Li () and Zujun Liu
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Yongjun Sun: Xidian University
Fanli Wang: Xidian University
Dongmin Li: Qindao Topscomm Communication Co. Ltd
Zujun Liu: Xidian University

Telecommunication Systems: Modelling, Analysis, Design and Management, 2018, vol. 68, issue 2, No 1, 145-150

Abstract: Abstract Modified Constant Modulus Algorithm (MCMA) is widely used in the SISO blind equalization for its simplicity. For MIMO systems MCMA can only equalize one of the source signals. Through the combination of channel estimation and successive interference cancellation, source signals can be equalized in turn. However the recovery of the first source and the channel estimation are the key points, which directly affects the recovery of the subsequent sources. This paper proposes a channel estimation method with a small amount of calculation, and can accurately estimate the channel vector. Meanwhile, a new blind equalization algorithm is put forward to reliably recovery the first source signal. Simulation results verify the effectiveness of the proposed algorithm.

Keywords: Blind equalization; MIMO; Channel estimation; Successive cancellation (search for similar items in EconPapers)
Date: 2018
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DOI: 10.1007/s11235-017-0347-7

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