Loading [a11y]/accessibility-menu.js
Simplified Method for Log-Likelihood Ratio Approximation in High-Order Modulations Based on the Voronoi Decomposition | IEEE Journals & Magazine | IEEE Xplore

Simplified Method for Log-Likelihood Ratio Approximation in High-Order Modulations Based on the Voronoi Decomposition


Abstract:

In modern communication systems, high-order modulation schemes have been widely employed to improve the spectral efficiency. In this context, soft decision methods are us...Show More

Abstract:

In modern communication systems, high-order modulation schemes have been widely employed to improve the spectral efficiency. In this context, soft decision methods are usually preferred, due to their superior performance over hard decisions. Soft decoders use metrics such as the log-likelihood ratios (LLRs) to measure the reliability of their decisions. Typically, the complexity of the exact channel LLR calculation increases exponentially with the modulation order of the system. The most well-known LLR approximation, the Max-Log-MAP symbol-to-bit demapper, still demands a large number of operations. In this paper, we present a novel simplified scheme that greatly reduces the complexity of the LLR demapper at high-order PSK and APSK modulations compared to the Max-Log-MAP soft-demapper. Moreover, it is shown that the proposed method has a negligible overall system performance loss compared to the same method.
Published in: IEEE Transactions on Broadcasting ( Volume: 63, Issue: 3, September 2017)
Page(s): 583 - 589
Date of Publication: 31 May 2017

ISSN Information:


Contact IEEE to Subscribe

References

References is not available for this document.