Trellis complexity versus the coding gain of lattices II
Trellis complexity versus the coding gain of lattices II
复制标题
网格复杂度与网格 II 的编码增益
DOI:
10.1109/18.556676
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发表时间:
1996
期刊:
影响因子:
--
通讯作者:
I. Blake
中科院分区:
文献类型:
--
作者:
V. Tarokh;I. Blake
For pt.I see ibid., vol. 42, no.6, p.1796-1802, 1996. Every rational lattice has a finite trellis diagram which can be employed for maximum-likelihood decoding over the additive white Gaussian noise channel via the Viterbi algorithm. For an arbitrary rational lattice L with gain /spl gamma/, the average number of states (respectively, branches) in any given trellis diagram of L is bounded below by a function of /spl gamma/. It is proved that this function grows exponentially in /spl gamma/. In the reverse direction, it is proved that given /spl isin/>0, for arbitrarily large values of /spl gamma/, there exist lattices of gain /spl gamma/ with an average number of branches and states less than exp(/spl gamma//sup (1+/spl isin//)). Trellis diagrams of block codes obtained from truncated convolutional codes are employed to show that, inside the trellis model, the problem of decoding lattices is not much harder than exponential.