Title :
Encoding and Decoding Binary Product Lattices
Author :
Salomon, Amir J. ; Amrani, Ofer
Author_Institution :
Sch. of Electr. Eng., Tel-Aviv Univ.
Abstract :
A binary product lattice is generated from two binary component lattices of lower dimensions by employing the Kronecker product. This work focuses on codes carved from binary product lattices. Defined as such, an intriguing problem is that of effectively mapping independent data sequences onto a selected subset of lattice points. A novel approach is disclosed yielding an explicit connection between source bits and lattice points. Decoding methods typically used for binary product codes do not apply for product lattices. Several alternative decoding approaches are discussed. In particular, a provably bounded-distance decoder is presented. It relies on the fact that a product lattice code point may be regarded as a two-dimensional array whose rows and columns are points in the component lattices. The obtained results are compared with classical lattices known in the art
Keywords :
binary codes; decoding; product codes; Kronecker product; binary product lattices; bounded-distance decoder; encoding method; two-dimensional array; Art; Binary codes; Encoding; Galois fields; Iterative decoding; Lattices; Maximum likelihood decoding; Nearest neighbor searches; Product codes; Tensile stress; Barnes-Wall lattice; Reed–Muller code; binary code; binary lattice; bounded-distance decoding; lattice; maximum-likelihood (ML) decoding; nearest neighbors; product code; product lattice;
Journal_Title :
Information Theory, IEEE Transactions on
DOI :
10.1109/TIT.2006.885486