Name
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. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/ISTC.2018.8625337 | 2018 IEEE 10th International Symposium on Turbo Codes & Iterative Information Processing (ISTC) |
Keywords | Field | DocType |
input-output error terms,EMA-OAMP algorithm,coded systems,orthogonal approximate message passing algorithm,additive white Gaussian noise channel,NLD,linear detector,WP algorithm,linear minimum mean square error estimation based turbo detection,orthogonal AMP,coded linear system,iterative detection | Turbo,Linear system,Computer science,Minimum mean square error,Filter (signal processing),Algorithm,Decoding methods,Additive white Gaussian noise,Detector,Decodes | Conference |
ISSN | ISBN | Citations |
2165-4700 | 978-1-5386-7049-1 | 1 |
PageRank | References | Authors |
0.34 | 10 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Junjie Ma | 1 | 148 | 15.24 |
| Lei Liu | 2 | 588 | 64.83 |
| Xiao-jun Yuan | 3 | 994 | 86.74 |
| Li Ping | 4 | 1046 | 98.88 |