Title : 
Blind estimation of MIMO relay channels
         
        
            Author : 
Chiong, Choo W. R. ; Yue Rong ; Yong Xiang
         
        
            Author_Institution : 
Dept. Electr. & Comput. Eng., Curtin Univ., Bentley, WA, Australia
         
        
        
            fDate : 
June 29 2014-July 2 2014
         
        
        
        
            Abstract : 
In this paper, we integrate two blind source separation (BSS) methods to estimate the individual channel state information (CSI) for the source-relay and relay-destination links of three-node two-hop multiple-input multiple-output (MIMO) relay systems. In particular, we propose a first-order Z-domain precoding technique for the blind estimation of the relay-destination channel matrix, while an algorithm based on the constant modulus and mutual information properties is developed to estimate the source-relay channel matrix. Compared with training-based MIMO relay channel estimation approaches, our algorithm has a better bandwidth efficiency as no bandwidth is wasted for sending the training sequences. Numerical examples are shown to demonstrate the performance of the proposed algorithm.
         
        
            Keywords : 
MIMO communication; blind source separation; channel estimation; matrix algebra; precoding; relay networks (telecommunication); BSS method; bandwidth efficiency; blind estimation; blind source separation method; channel state information estimation; constant modulus; first-order Z-domain precoding technique; mutual information properties; relay-destination channel matrix; relay-destination link; source-relay channel matrix estimation; source-relay link; three-node two-hop multiple-input multiple-output relay systems; training-based MIMO relay channel estimation approach; Blind equalizers; Channel estimation; Covariance matrices; Estimation; MIMO; Relays; Signal processing algorithms; Blind channel estimation; MIMO relay; Z-domain; constant modulus; mutual information;
         
        
        
        
            Conference_Titel : 
Statistical Signal Processing (SSP), 2014 IEEE Workshop on
         
        
            Conference_Location : 
Gold Coast, VIC
         
        
        
            DOI : 
10.1109/SSP.2014.6884660