BM/LLR computation for multi-dimensional TCM/BCM

Details BM/LLR computation for multi-dimensional TCM/BCM BM/LLR computation for multi-dimensional TCM/BCM

2008-01-15

2011-10-18

Trimmings, John (Department: 2117)

Error detection/correction and fault detection/recovery

Pulse or data error handling

Digital data error correction

C714S746000, C714S751000, C714S752000, C714S759000, C714S764000, C714S777000, C714S780000, C714S792000, C714S794000, C714S795000, C714S796000, C375S241000, C375S242000, C375S265000, C375S324000, C375S341000

Reexamination Certificate

active

08042027

ABSTRACT:
Systems and methods for processing and decoding TCM/BCM-coded signal vectors. A multi-dimensional signal vector is received by, for example, a TCM or BCM decoder. The TCM/BCM decoder identifies the closest signal points in the signal constellation set, or “nearest neighbors,” for each dimension of the received signal vector. The TCM/BCM decoder then forms a test set that includes a plurality of multi-dimensional test vectors, where each dimension of each test vector is based on an identified nearest neighbor. In particular, each test point in the test set is based on a different combination of the nearest neighbors. The TCM/BCM decoder can compute branch metrics based on only the test points in the test set, and can make detection decisions using the computed branch metrics.

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