Stmicroelectronics S.r.l.

Oscar Volpatti

Massimiliano Siti

Alessandro Tomasoni

Sandro Bellini

Marco Massimo Ferrari

Marco Pietro Ferrari

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.

Method and apparatus for multiple antenna communications, and related systems and computer program

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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Rovellasca, Italy

Oscar Volpatti