Reliability-based turbo detection
IEEE Transactions on Wireless Communications, ISSN: 1536-1276, Vol: 10, Issue: 7, Page: 2352-2361
2011
- 6Citations
- 5Usage
- 9Captures
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations6
- Citation Indexes6
- CrossRef6
- Usage5
- Downloads5
- Captures9
- Readers9
Article Description
This paper proposes a reliability-based turbo detection scheme for multiple-input multiple-output (MIMO) systems with frequency-selective fading. The proposed scheme performs iterative successive soft interference cancellation (SSIC) with a block decision-feedback equalizer (BDFE). To minimize the negative impacts of error propagation in SSIC, we propose a new group-wise reliability-based ordering scheme, where neighboring symbols that severely interfere with each other are clustered into the same group, and for each group, more "reliable" symbols are detected before less "reliable" ones. The symbol reliability is measured by using the symbol a priori probability, which is a unique byproduct of the turbo detection and can be obtained with little overhead. The reliability information is updated iteratively as the turbo detection progresses, and this leads to a dynamic ordering scheme that is unavailable in conventional ordered successive interference cancellation (OSIC) schemes. Simulation results show that extra performance gain is obtained at a very small ordering cost, and the reliability-based turbo detection can achieve a performance that is only 0.5 dB away from the optimum maximum a posteriori probability (MAP) detection. © 2011 IEEE.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=79960558908&origin=inward; http://dx.doi.org/10.1109/twc.2011.052311.101753; http://ieeexplore.ieee.org/document/5783005/; http://xplorestaging.ieee.org/ielx5/7693/5955046/05783005.pdf?arnumber=5783005; https://scholarsmine.mst.edu/ele_comeng_facwork/6225; https://scholarsmine.mst.edu/cgi/viewcontent.cgi?article=7254&context=ele_comeng_facwork
Institute of Electrical and Electronics Engineers (IEEE)
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know