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A Low Complex V-BLAST Detection Algorithm for MIMO-OFDM System

Wang Bei, Qi Zhu

Open publisher page 7 citations

Abstract

ML-DFE algorithm is known as the combination of the ZF-DFE algorithm and ML algorithm. In this paper, OSIC-ML is proposed as the simplified algorithm of the ML-DFE, by exchanging the executive order of OSIC and ML, using simple matrix operations to replace the method of through QR decomposition to find a unitary matrix for matrix resolution. ML-DFE algorithm decreases complexity of the matrix operations, and gets almost the same performance of ML-DFE algorithm by the Matlab simulation results.

About this research paper

What this paper is about

ML-DFE algorithm is known as the combination of the ZF-DFE algorithm and ML algorithm. In this paper, OSIC-ML is proposed as the simplified algorithm of the ML-DFE, by exchanging the executive order of OSIC and ML, using simple matrix operations to replace the method of through QR decomposition to find a unitary matrix for matrix resolution. ML-DFE algorithm decreases complexity of the matrix operations, and gets almost the same performance of ML-DFE algorithm by the Matlab simulation results.

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OpenAlex reports 7 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

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Method / approach

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Available abstract

ML-DFE algorithm is known as the combination of the ZF-DFE algorithm and ML algorithm. In this paper, OSIC-ML is proposed as the simplified algorithm of the ML-DFE, by exchanging the executive order of OSIC and ML, using simple matrix operations to replace the method of through QR decomposition to find a unitary matrix for matrix resolution. ML-DFE algorithm decreases complexity of the matrix operations, and gets almost the same performance of ML-DFE algorithm by the Matlab simulation results.

Key concepts: Algorithm, MATLAB, QR decomposition, Matrix (chemical analysis), MIMO, Computer science, Matrix decomposition, Decomposition

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