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- W2912793741 abstract "Linear minimum mean square error (LMMSE) estimation based turbo detection has been extensively studied for coded linear systems since the seminal work of Wang and Poor (WP). The WP algorithm operates iteratively between a linear detector (LD) and a nonlinear detector (NLD): the LD suppresses the interference based on LMMSE filtering, and the NLD decodes the data by treating the output of the LD as an observation from an additive white Gaussian noise (AWGN) channel. In WP, the messages exchanged between LD and NLD are required to be extrinsic. Recently, we proposed an orthogonal approximate message passing (OAMP) algorithm, which only requires the input/output error terms of LD and NLD to be orthogonal.In this paper, we consider a coded linear system and develop an extrinsic message aided OAMP (EMA-OAMP) algorithm. Similarly, EMA-OAMP relaxes the requirements on output messages to be orthogonal instead of extrinsic. We derive an SE procedure to characterize the performance of OAMP in coded systems. We conjecture that this SE procedure is accurate, which is verified by simulation results. Under this conjecture, we show that EMA-OAMP can potentially outperform WP under certain standard assumptions for iterative decoding." @default.
- W2912793741 created "2019-02-21" @default.
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- W2912793741 date "2018-12-01" @default.
- W2912793741 modified "2023-10-17" @default.
- W2912793741 title "Iterative Detection in Coded Linear Systems Based on Orthogonal AMP" @default.
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- W2912793741 doi "https://doi.org/10.1109/istc.2018.8625337" @default.
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