Faster Recursions in Sphere Decoding

被引:49
作者
Ghasemmehdi, Arash [1 ]
Agrell, Erik [1 ]
机构
[1] Chalmers Univ Technol, Dept Signals & Syst, SE-4129 Gothenburg, Sweden
关键词
Closest point search; Fincke-Pohst; lattice; Lenstra-Lenstra-Lovasz (LLL) reduction; maximum likelihood (ML) detection; multiple-input multiple-output (MIMO); Schnorr-Euchner; sphere decoder; LATTICE CODE DECODER; ALGORITHMS; PERFORMANCE; SEARCH;
D O I
10.1109/TIT.2011.2143830
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Most of the calculations in standard sphere decoders are redundant in the sense that they either calculate quantities that are never used or calculate some quantities more than once. A new method, which is applicable to lattices as well as finite constellations, is proposed to avoid these redundant calculations while still returning the same result. Pseudocode is given to facilitate immediate implementation. Simulations show that the speed gain with the proposed method increases linearly with the lattice dimension. At dimension 60, the new algorithms avoid about 75% of all floating-point operations.
引用
收藏
页码:3530 / 3536
页数:7
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