Efficient soft bit estimation for joint iterative multiple-input multiple-output detection

作者：Ahmed Saleem; Kim Sooyoung^*

来源：IET Communications, 2015, 9(17): 2107-2113.

DOI：10.1049/iet-com.2015.0225

• error statistics
• MIMO communication
• signal detection
• iterative decoding
• turbo codes
• linear codes
• interference suppression
• least mean squares methods
• telecommunication network reliability
• maximum likelihood estimation
• filtering theory
• joint iterative multiple input multiple output detection
• joint iterative detection and decoding method
• JIDD method
• turbo coded MIMO system
• soft information bit estimation reliability
• soft interference cancellation performance

In this study, the authors propose a joint iterative detection and decoding (JIDD) method for a turbo coded multiple-input multiple-output (MIMO) system, with a linear order of complexity. Accurate estimation of soft information should be conditioned for excellent performance of the JIDD, but it usually requires an exponential order of complexity. They propose a method which improves the performance of soft interference cancellation minimum mean-squared error (SIC-MMSE) method by increasing the reliability of the soft information utilised for interference cancellation. The proposed method utilises a posteriori probabilities from the MIMO detector as well as a priori probabilities from the turbo decoder, and perform soft minimum mean-squared error filtering for symbol level detection. With this approach, soft information is fully fed into the symbol detection process, and thus the reliability of soft symbol is increased. In addition, they can separate out the bit-level soft estimation process by using a simple linear method. Simulation results show that the proposed method provides substantial complexity reduction, with a bit error rate performance comparable to the conventional SIC-MMSE methods.

• 出版日期2015-11-26