| 摘要 |
One or more embodiments to iteratively detect and decode data transmitted in a wireless communication system, featuring a MIMO detector and a soft input soft-output error-correction-code decoder. More specifically, a method suitable for iterative detection and decoding schemes is proposed, which is able to output near optimal bit soft information processing efficiently given input bit soft information. First, a transmitting source is selected as a reference layer, wherein the associated symbol represents a reference transmit symbol. Subsequently, a set of candidate values are identified for the reference transmit symbol. For each candidate value a candidate transmit sequence is estimated through a novel spatial decision feedback equalization process based on both Euclidean distance metrics and the a-priori soft information provided by the SISO ECC decoder. The novel DFE technique uses a novel bit metric. Techniques are provided to identify a reduced size transmit symbol candidate set and generate from it near-optimal LLRs, also processing input a-priori LLRs in an iterative fashion.
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