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Conference Paper
MMSE-based Turbo Equalization Schemes with Damping for Coded OTFS Systems
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- Authors
- Wooram Shin, Kyeongpyo Kim, Kapseok Chang, Young-Jo Ko
- Issue Date
- 2023-10
- Citation
- International Conference on Information and Communication Technology Convergence (ICTC) 2023, pp.1267-1271
- Publisher
- IEEE
- Language
- English
- Type
- Conference Paper
- Abstract
- This paper presents minimum mean squared error (MMSE)-based turbo equalization schemes with damping for coded orthogonal time frequency space (OTFS) systems in order to address a problematic underestimation in postprocessed residual inter-data symbol interference (IDSI) when calculating a likelihood function for data symbol demapping with Gaussian approximation thereof. We suggest two alternatives in dampening: 1) equalizer-fed extrinsic loglikelihood ratio (LLR) and 2) decoder-fed extrinsic LLR. It is demonstrated that the two proposed damping methods have a better signal-to-noise ratio (SNR) vs. block error rate (BLER) performance than one without damping via the rigorous link-level performance evaluations over various channel scenarios.
- KSP Keywords
- Block Error Rate, Gaussian approximation, Minimum Mean Square Error(MMSE), Performance evaluation, Signal noise ratio(SNR), Signal-to-Noise, likelihood function, link-level, mean square error(MSE), time frequency(T-F), turbo equalization