Title : 
Low-rate turbo-Hadamard coding approach for narrow-band interference suppression
         
        
            Author : 
Xiaofu Wu ; Zhen Yang ; Jun Yan ; Jingwu Cui
         
        
            Author_Institution : 
Nanjing Univ. of Posts & Telecommun., Nanjing, China
         
        
        
        
        
        
            Abstract : 
We propose a low-rate turbo-Hadamard coding approach for narrow-band interference (NBI) suppression. The proposed approach can be viewed as the employment of a coded spread-spectrum signalling with time-varying spreading sequences and the NBI suppression is naturally achieved in iterative decoding. Compared with the traditional code-aided NBI suppression with direct-sequence spread-spectrum (DS-SS) signalling, the spreading sequences for the turbo-Hadamard coding approach are non-constant in time and determined from the columns of a Hadamard matrix subject to the low-rate coding rule. The low-rate turbo-Hadamard coding approach is sharply compared with the code-aided DS-SS approach with convolutional coding. With a spreading sequence of length 32, it is shown that the proposed turbo-Hadamard approach outperforms the code-aided DS-SS approach even when its transmission information rate is about 5 times higher than that of the coded-aided DS-SS approach.
         
        
            Keywords : 
Hadamard codes; Hadamard matrices; interference suppression; iterative decoding; radiofrequency interference; sequences; spread spectrum communication; telecommunication signalling; turbo codes; DS-SS signalling; Hadamard matrix; code-aided NBI suppression; code-aided narrow-band interference suppression; coded spread-spectrum signalling; convolutional coding; direct-sequence spread-spectrum signalling; iterative decoding; low-rate turbo-Hadamard coding approach; time-varying spreading sequence; Channel coding; Convolution; Convolutional codes; Error correction; Error correction codes; Interference; Low rate turbo-Hadamard code; narrow-band interference; soft-in soft-out algorithm; spread-spectrum signalling;
         
        
        
        
            Conference_Titel : 
Communications (ICC), 2014 IEEE International Conference on
         
        
            Conference_Location : 
Sydney, NSW
         
        
        
            DOI : 
10.1109/ICC.2014.6883638