Abstract: An embodiment of an arrangement detects sequences of digitally modulated symbols from multiple sources. The arrangement identifies a suitable set of candidate values for at least one transmitted sequence of symbols and determines for each candidate value a set of sequences of transmitted symbols. The arrangement estimates at least one further set of sequences of transmitted symbols, calculates a metric for each sequence of transmitted symbols, and selects the sequence that maximizes the metric. At the end, a-posteriori bit soft output information for the selected sequence is calculated from the metrics for said sequences. Generally, these calculations are based on the information coming from a channel-state-information matrix and a-priori information on the modulated symbols from a second module, such as a forward error-correction-code (ECC) decoder.

Abstract: An embodiment of an arrangement detects sequences of digitally modulated symbols from multiple sources. The arrangement identifies a suitable set of candidate values for at least one transmitted sequence of symbols and determines for each candidate value a set of sequences of transmitted symbols. The arrangement estimates at least one further set of sequences of transmitted symbols, calculates a metric for each sequence of transmitted symbols, and selects the sequence that maximizes the metric. At the end, a-posteriori bit soft output information for the selected sequence is calculated from the metrics for said sequences. Generally, these calculations are based on the information coming from a channel-state-information matrix and a-priori information on the modulated symbols from a second module, such as a forward error-correction-code (ECC) decoder.

Abstract: 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.

Abstract: An embodiment of an arrangement for detecting sequences of digitally modulated symbols from multiple sources. The arrangement identifies a suitable set of candidate values for at least one transmitted sequence of symbols and determines for each candidate value a set of sequences of transmitted symbols. The arrangement estimates at least one further set of sequence of transmitted symbols, calculates a metric for each sequence of transmitted symbols and selects the sequence that maximizes the metric. At the end, a-posteriori bit soft output information for the selected sequence is calculated from the metrics for said sequences. Generally, these calculations are base on the information coming from a channel state information matrix and a-priori information on said modulated symbols from a second module, such as a forward error correction code decoder.

Abstract: 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.

Abstract: An embodiment of an arrangement for detecting sequences of digitally modulated symbols from multiple sources. The arrangement identifies a suitable set of candidate values for at least one transmitted sequence of symbols and determines for each candidate value a set of sequences of transmitted symbols. The arrangement estimates at least one further set of sequence of transmitted symbols, calculates a metric for each sequence of transmitted symbols and selects the sequence that maximizes the metric. At the end, a-posteriori bit soft output information for the selected sequence is calculated from the metrics for said sequences. Generally, these calculations are base on the information coming from a channel state information matrix and a-priori information on said modulated symbols from a second module, such as a forward error correction code decoder.