Title :
Ordered sphere decoding detection algorithm for MIMO systems
Author :
Li Shi-ping ; Wang Long ; Chen Fang-chao
Author_Institution :
Coll. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
Abstract :
Among all of the signal detection algorithms in multiple-input multiple-output systems, the performance of sphere decoding algorithm is most closely to the performance of maximum-likelihood algorithm. But the calculation complexity of the sphere decoding algorithm is still very large. To solve this problem, we use the sorting algorithm in sphere decoding algorithm. To apply the sorting algorithm which comes from sorted QR decomposition algorithm to the sphere decoding algorithm, we can obtain the ordered sphere decoding detection algorithm. With the result of simulation, it shows that the novel algorithm not only keep the same performance as the traditional sphere decoding algorithm, but also can efficiently decrease the calculation complexity of the sphere decoding algorithm.
Keywords :
MIMO communication; decoding; signal detection; MIMO systems; QR decomposition algorithm; calculation complexity; maximum-likelihood algorithm; multiple-input multiple-output systems; ordered sphere decoding detection algorithm; signal detection algorithm; sorting algorithm; Algorithm design and analysis; Complexity theory; Detection algorithms; Lattices; MIMO; Maximum likelihood decoding; Signal processing algorithms; Multiple-Input Multiple-Output (MIMO); Ordered; Signal detection; Sphere decoding Algorithm;
Conference_Titel :
Control and Decision Conference (CCDC), 2012 24th Chinese
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4577-2073-4
DOI :
10.1109/CCDC.2012.6244527