Abstract: Method and apparatus for receiving coded signals with the aid of CSI are provided. The method comprises: performing channel estimation to obtain a CFR estimation vector; computing a squared magnitude of the CFR estimation vector, and obtaining a normalization factor ? by averaging the squared magnitudes of CFR estimations on all N subcarriers; finding a norm-shift operand m satisfying the condition that ?0=2m is a power of 2 number closest to the normalization factor ?; performing a CSI-aided one-tap channel equalization on an output signal vector from a DFT processor by using the norm-shift operand m; performing constellation demapping; and performing channel decoding. The method further comprises obtaining a weighting factor vector by right shifting m bits of the squared magnitude of the CFR estimation vector so that the constellation demapping can use the weighted decision boundary values in case that its input signal is sensitive to both amplitude and phase.

Abstract: Method and apparatus for receiving coded signals with the aid of CSI are provided. The method comprises: performing channel estimation to obtain a CFR estimation vector; computing a squared magnitude of the CFR estimation vector, and obtaining a normalization factor ? by averaging the squared magnitudes of CFR estimations on all N subcarriers; finding a norm-shift operand m satisfying the condition that ?0=2m is a power of 2 number closest to the normalization factor ?; performing a CSI-aided one-tap channel equalization on an output signal vector from a DFT processor by using the norm-shift operand m; performing constellation demapping; and performing channel decoding. The method further comprises obtaining a weighting factor vector by right shifting m bits of the squared magnitude of the CFR estimation vector so that the constellation demapping can use the weighted decision boundary values in case that its input signal is sensitive to both amplitude and phase.

Abstract: The present invention relates generally to error-correction coding and, more particularly, to a decoder for concatenated codes, e.g., turbo codes. The present invention provides a decoder for decoding encoded data, the decoder comprising: a processor having an input which receives probability estimates for a block of symbols, and which is arranged to calculates probability estimates for said symbols in a next iterative state; normalising means which normalises said next states estimates; a switch that receives both said normalised and said unnormalised next state estimates, the output of the switch being coupled to the input of the processor; wherein the switch is arranged to switch between the normalised and unnormalised next state estimates depending on the iterative state.

Abstract: The present invention relates generally to error-correction coding and, more particularly, to a decoder for concatenated codes, e.g., turbo codes. The present invention provides a decoder for decoding encoded data, the decoder comprising: a processor having an input which receives probability estimates for a block of symbols, and which is arranged to calculates probability estimates for said symbols in a next iterative state; normalising means which normalises said next states estimates; a switch that receives both said normalised and said unnormalised next state estimates, the output of the switch being coupled to the input of the processor; wherein the switch is arranged to switch between the normalised and unnormalised next state estimates depending on the iterative state.