Title :
Collaborative jamming mitigation on block-fading channels
Author :
Moon, Jang-Wook ; Shea, John M. ; Wong, Tan F.
Author_Institution :
Wireless Inf. Networking Group, Florida Univ., FL, USA
Abstract :
Collaborative techniques have been proposed to improve communications in the presence of a hostile jammer. A distributed detection and decoding technique based on collaborative decoding has been shown to he effective for communications over non-fading channels for coherent communications. In this paper, we consider collaborative communications strategies for jamming channels in which the message and jamming signals experience independent block fading at each receiving node. Furthermore, we assume that the phase of the message signal is not known and must be estimated from the received signal. Joint decoding and estimation of all of the fading and jamming parameters is computationally prohibitive, so we develop iterative estimation and decoding algorithms. The fading coefficient and parameters of the jamming signal are estimated using the EM and BCJR algorithms. The results show that the proposed technique is an effective response to hostile jamming.
Keywords :
fading channels; iterative decoding; jamming; BCJR algorithm; EM algorithm; block-fading channels; collaborative decoding; collaborative jamming mitigation; distributed detection; hostile jammer; iterative decoding; iterative estimation; Antenna arrays; Collaboration; Fading; Hidden Markov models; Iterative algorithms; Iterative decoding; Jamming; Moon; Phase estimation; Phased arrays;
Conference_Titel :
Communications, 2005. ICC 2005. 2005 IEEE International Conference on
Print_ISBN :
0-7803-8938-7
DOI :
10.1109/ICC.2005.1494399