DocumentCode
1661787
Title
Detection scheme for MIMO systems based on covariance shaping least squares estimator in quantum signal processing
Author
Zhao, Sheng-Mei ; SHEN, Zhi-gang ; Zheng, Bao-yu
Author_Institution
Nanjing Univ. of Posts & Telecommun., Nanjing
fYear
2008
Firstpage
2158
Lastpage
2161
Abstract
Covariance shaping least squares estimator is a new kind of linear estimator based on covariance shaping in quantum signal processing (QSP) framework. In this paper, we apply the covariance shaping least squares (CSLS) estimator to the detection of MIMO systems that leads to a new detection algorithm, covariance shaping MIMO detection algorithm. We derive the formalism of covariance shaping MIMO detection algorithm, and analyze its performance by numerical experiments. The results show that the performance of system is better than that of detection algorithm with zero-forcing and MMSE solutions, and the objective covariance matrix plays an important role in the proposed scheme.
Keywords
MIMO communication; covariance matrices; least mean squares methods; quantum communication; signal detection; MMSE solution; covariance shaping MIMO detection algorithm; covariance shaping least squares estimator; linear estimator; objective covariance matrix; quantum signal processing; zero-forcing algorithm; Communication systems; Detection algorithms; Hilbert space; Least squares approximation; MIMO; Mechanical variables measurement; Multiuser detection; Quantum mechanics; Signal processing; Signal processing algorithms;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing, 2008. ICSP 2008. 9th International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-2178-7
Electronic_ISBN
978-1-4244-2179-4
Type
conf
DOI
10.1109/ICOSP.2008.4697574
Filename
4697574
Link To Document