ISBN: 978-981-09-5471-0 DOI: 10.18178/wcse.2015.04.090
Iterative BCJR Equalizer for Underwater Communication
Abstract— In this paper, we presented an iterative BCJR equalization to cope with inter symbol
interference induced by reflection of sea-level and sea-bottom for underwater communication
channel. Iterative BCJR equalizer consists of inner codes and outer codes, we employ decision
feedback equalizer as an outer codes and half rate convolutional codes as inner codes. Equalizer and
BCJR decoder are connected through the interleaving and de-interleaving that update each other's
information repeatedly. At the receiver side, we resort to powerful BCJR equalization algorithms that
iteratively exchange probabilistic information between inner decoder and outer decoder, thereby the
error rates can be reduced significantly. Based on experimental channel response, we confirmed that
the performance is improved as iteration number is increased.
Index Terms— Convolutional codes, BCJR decoder, BCJR Equalization, Decision Feedback Equalizer, Underwater communication.
Tae-Seok Ahn, Ha-Hyun Sung, Ji-Won Jung
Department of Radio Communication Engineering, Korea Maritime and Ocean University, KOREA
Cite: Tae-Seok Ahn, Ha-Hyun Sung, Ji-Won Jung, "Iterative BCJR Equalizer for Underwater Communication," 2015 The 5th International Workshop on Computer Science and Engineering-Information Processing and Control Engineering (WCSE 2015-IPCE), pp. 540-546, Moscow, Russia, April 15-17, 2015.