A New Reduced KSD-SIC Algorithm Based on the Noise Variance

doi:10.1166/sl.2012.2619

CORC > 北京大学 > 信息科学技术学院

	A New Reduced KSD-SIC Algorithm Based on the Noise Variance
	Mao, Xinyu ; Ren, Shubo ; Xiang, Haige
刊名	sensor letters
	2012
关键词	Multiple-Input Multiple-Output System Sphere Decoding K-Best Sphere Decoding Successive Interference Cancellation ARCHITECTURE DECODER LATTICE
DOI	10.1166/sl.2012.2619
英文摘要	A new reduced algorithm based on the K-best sphere decoding and the successive interference cancellation algorithm is proposed for detection of multiple-input multiple-output systems. This algorithm divides the detection into two parts: the previous part detects by K-best SD algorithm, the later part detects by the SIC algorithm. Then a threshold based on the noise variance is proposed to further reduce the complexity of the algorithm. Any nodes those have metric larger than it will be cut during detecting. Simulation results show that the propose algorithm reduce the calculation complexity efficiently while at the same time the performance drop is almost neglectable.; Chemistry, Analytical; Electrochemistry; Instruments & Instrumentation; Physics, Applied; SCI(E); EI; 0; ARTICLE; 8,SI; 1774-1778; 10
语种	英语
内容类型	期刊论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/291795]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Mao, Xinyu,Ren, Shubo,Xiang, Haige. A New Reduced KSD-SIC Algorithm Based on the Noise Variance[J]. sensor letters,2012.
APA	Mao, Xinyu,Ren, Shubo,&Xiang, Haige.(2012).A New Reduced KSD-SIC Algorithm Based on the Noise Variance.sensor letters.
MLA	Mao, Xinyu,et al."A New Reduced KSD-SIC Algorithm Based on the Noise Variance".sensor letters (2012).