Çѱ¹Á¤º¸Åë½ÅÇÐȸ ³í¹®Áö (Journal of the Korea Institute of Information and Communication Engineering)
Current Result Document :
ÇѱÛÁ¦¸ñ(Korean Title) |
Åͺ¸µîȸ¦ ÀÌ¿ëÇÑ Á÷Á¢´ë¿ªÈ®»êÅë½Å ±â¹ÝÀÇ Àº¹Ð ¼öÁßÅë½Å ¼º´ÉºÐ¼® |
¿µ¹®Á¦¸ñ(English Title) |
Turbo Equalization for Covert communication in Underwater Channel |
ÀúÀÚ(Author) |
¾Èż®
Á¤Áö¿ø
¹ÚŵÎ
À̵¿¿ø
Tae-Seok Ahn
Ji-Won Jung
Tae-Doo Park
Dong-Won Lee
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¿ø¹®¼ö·Ïó(Citation) |
VOL 20 NO. 08 PP. 1422 ~ 1430 (2016. 08) |
Çѱ۳»¿ë (Korean Abstract) |
Àü¼ÛµÇ´Â Á¤º¸µéÀÇ °¡·Îä±â È®·üÀ» °¨¼Ò½ÃÅ°±â À§ÇÑ ÇÇ°¨Ã» ±â¼ú Áß ´ëÇ¥ÀûÀÎ ´ë¿ªÈ®»êÅë½Å ±â¹ýÀ» Àû¿ëÇÔÀ¸·Î½á Åë½Å ¼º´É¿¡ ¹ÌÄ¡´Â ¿µÇâÀ» ºÐ¼®ÇÏ°í, À̸¦ ÅëÇØ ÃÖÀûÀÇ Àº¹Ð ¼öÁßÀ½ÇâÅë½Å ½Ã½ºÅÛÀÇ ¸ðµ¨À» Á¦¾ÈÇÑ´Ù. ´ë¿ªÈ®»êÅë½Å µÈ ½ÅÈ£ÀÇ ·¹º§ÀÌ ³·¾ÆÁ® ÁÖº¯ÀÇ ¹è°æ¼ÒÀ½°ú °°Àº ·¹º§·Î Àü¼ÛÇϱ⠶§¹®¿¡ ÇÇŽÁö È®·üÀÌ °¨¼ÒÇÏ°í Àº¹Ð¼ºÀÇ Æ¯Â¡À» °®°Ô µÈ´Ù. º» ³í¹®¿¡¼´Â BCJR(Bahl, Cocke, Jelinek, Raviv) º¹È£¹æ¹ý°ú ´ë¿ª È®»ê ±â¹ý Áß Á÷Á¢ ¼ö¿ ´ë¿ª È®»ê ±â¹ýÀ» Àû¿ëÇÏ¿´À¸¸ç, Àº¹Ð ¼öÁß Åë½Å¿¡¼ °í·ÁµÇ´Â ¼Û¼ö½Å ¸ðµ¨Àº Å©°Ô µÎ °¡Áö·Î ³ª´µ´Âµ¥, °æÆÇÁ¤ ±â¹ÝÀÇ ¼Û¼ö½Å ¸ðµ¨°ú ¹Ýº¹±â¹ÝÀÇ Åͺ¸ µîÈ ¸ðµ¨ÀÇ ¼º´ÉÀ» ½Ã¹Ä·¹À̼ǰú È£¼ö ½ÇÇèÀ» ÅëÇØ ¼º´ÉÀ» ºñ±³ ºÐ¼®ÇÏ¿´´Ù.
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¿µ¹®³»¿ë (English Abstract) |
Researches for oceans are limited to military purpose such as underwater sound detection and tracking system. Underwater acoustic communications with low-probability-of-interception (LPI) covert characteristics were received much attention recently. Covert communications are conducted at a low received signal-to-noise ratio to prevent interception or detection by an eavesdropper. This paper proposed optimal covert communication model based on direct sequence spread spectrum for underwater environments. Spread spectrum signals may be used for data transmission on underwater acoustic channels to achieve reliable transmission by suppressing the detrimental effect of interference and self-interference due to jamming and multipath propagation. The characteristics of the underwater acoustic channel present special problems in the design of covert communication systems. To improve performance and probability of interception, we applied BCJR(Bahl, Cocke, Jelinek, Raviv) decoding method and the direct
sequence spread spectrum technology in low SNR. Also, we compared the performance between conventional model and proposed model based on turbo equalization by simulation and lake experiment.
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Å°¿öµå(Keyword) |
ÇÇ°¨Ã»
´ë¿ªÈ®»ê
BCJR(Bahl
Cocke
Jelinek
Raviv) º¹È£
Åͺ¸ µîȱâ¹ý
Low probability of interception
Spread spectrum
BCJR(Bahl
Cocke
Jelinek
Raviv)
Turbo equalization
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