Texas Instruments Corporation

Doron Burshtein

Deric Wayne Waters

Oren Peles

Srinath Hosur

Anuj Batra

Rafi Dalla Torre

Naftali Sommer

Daniel Wajcer

A Multiple-input Multiple-Output (MIMO) receiver is provided. The MIMO receiver comprises a parameterized sphere detector having two search modes. During a first search mode, the parameterized sphere detector enumerates a number of best candidate vectors up to a fixed parameter value. During a second search mode, the parameterized sphere detector enumerates additional candidate vectors using a greedy search until a predetermined number of candidate vectors have been enumerated.

Parameterized sphere detector and methods of using the same

A method and system for generating a set of candidate symbols. A system includes a Multiple Input Multiple Output ('MIMO') receiver. The receiver includes a candidate generation look-up table ('LUT') that provides a list of candidate values for a transmitted symbol selected from a constellation of symbols. The candidate generation LUT stores candidate lists for a portion of the constellation of symbols. The portion of the constellation for which candidate lists are stored is selected according to a symmetry of the constellation. The LUT preferably provides a secondary constellation superimposed on a decision region of a primary constellation. The LUT also preferably includes an inner point of the primary constellation and outer points of the primary constellation. The primary and secondary constellations are preferably compressed by application of quadrant, mirror, and inner-point symmetries.

Candidate generation

A method and system for performing Multiple-Input Multiple-Output ('MIMO') detection that reduces complexity by decomposing MIMO detection problem into two less complex problems, Candidate List generation and Interference Cancellation ('CLIC'). Embodiments of the CLIC framework parse an N element channel output into a first set containing S elements and a second set containing N&#x2212;S elements. A first list of candidate vectors is generated from the first set of elements. A set of interference cancelled elements is generated by using the first list of candidate vectors to cancel interference from the second set of elements. A second list of candidate vectors is generated from the set of interference cancelled elements. A minimum cost is computed for each bit of the candidate vectors and from the costs a log-likelihood ratio is computed.

Candidate list generation and interference cancellation framework for MIMO detection

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Ramat-Efal, Israel

Doron Burshtein