Title : 
Approximate joint MAP detection of co-channel signals
         
        
            Author : 
Daniel J. Jakubisin;R. Michael Buehrer
         
        
            Author_Institution : 
Mobile and Portable Radio Research Group (MPRG), Wireless@VT, Virginia Tech, Blacksburg, USA
         
        
        
        
        
            Abstract : 
We consider joint detection of co-channel signals-specifically, signals which do not possess a natural separability due to, for example, the multiple access technique or the use of multiple antennas. Iterative joint detection and decoding is a well known approach for utilizing the error correction code to improve detection performance. However, the joint maximum a posteriori probability (MAP) detector may be prohibitively complex, especially in a multipath channel. In this paper, we present an approximation to the joint MAP detector motivated by a factor graph model of the received signal. The proposed algorithm is designed to approximate the joint MAP detector as closely as possible within the computational capability of the receiver.
         
        
            Keywords : 
"Signal processing algorithms","Detectors","Complexity theory","Manganese","Modulation","Antennas","Receivers"
         
        
        
            Conference_Titel : 
Military Communications Conference, MILCOM 2015 - 2015 IEEE
         
        
        
            DOI : 
10.1109/MILCOM.2015.7357662