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31 maj 2017 · 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.
1 gru 2014 · This study proposes a soft ordered successive interference cancellation (OSIC) receiver accompanied by a simplified log-likelihood ratio calculation method for a dual-polarised multiple-input multiple-output (MIMO) digital video broadcasting-second generation terrestrial system.
Log-Likelihood Ratio (LLR): Logarithmic representation of bit probabilities received from the channel. Quantization : Theoretically, the LLR is a signed real number. For practical purposes, this value is quantized by the quantization function.
This model shows the improvement in BER performance when using log-likelihood ratio (LLR) instead of hard decision demodulation in a convolutionally coded communication link. For a MATLAB® version of this example, see Log-Likelihood Ratio (LLR) Demodulation.
This example shows the BER performance improvement for QPSK modulation when using log-likelihood ratio (LLR) instead of hard-decision demodulation in a convolutionally coded communication link. With LLR demodulation, one can use the Viterbi decoder either in the unquantized decoding mode or the soft-decision decoding mode.
31 maj 2017 · Accurate estimation of channel log-likelihood ratio (LLR) is crucial to the decoding of modern channel codes like turbo, low-density parity-check (LDPC), and polar codes.
29 mar 2021 · Accurate estimation of channel log-likelihood ratio (LLR) is crucial to the decoding of modern channel codes like turbo, low-density parity-check (LDPC), and polar codes.
