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Ȩ Ȩ > ¿¬±¸¹®Çå > ±¹³» ³í¹®Áö > Çѱ¹Á¤º¸Åë½ÅÇÐȸ ³í¹®Áö (Journal of the Korea Institute of Information and Communication Engineering)

Çѱ¹Á¤º¸Åë½ÅÇÐȸ ³í¹®Áö (Journal of the Korea Institute of Information and Communication Engineering)

Current Result Document :

ÇѱÛÁ¦¸ñ(Korean Title) ATW ±â¹ýÀ» ÀÌ¿ëÇÑ ¼öÁß ±âµ¿ÇÔÁ¤ÀÇ ¼ÒÀ½ Ư¼º ºÐ¼®
¿µ¹®Á¦¸ñ(English Title) Analysys of the characteristics of manuvering underwater vessels
ÀúÀÚ(Author) À±º´¿ì   Byung-woo Yoon  
¿ø¹®¼ö·Ïó(Citation) VOL 07 NO. 06 PP. 1123 ~ 1129 (2003. 11)
Çѱ۳»¿ë
(Korean Abstract)
±âµ¿ÇÏ´Â Àá¼öÇÔÀ̳ª ÇÔÁ¤ µîÀÇ ¹æ»ç ¼ÒÀ½ Ư¼ºÀº Å䳯 ½ÅÈ£¿Í ±¤´ë¿ª ¹è°æÀâÀ½À¸·Î ±¸ºÐµÉ ¼ö ÀÖ´Ù. Å䳯 ½ÅÈ£´Â ÇÔÁ¤ÀÇ ¸ðÅͳª ¿£Áø µîÀÇ È¸ÀüÀ¸·Î ÀÎÇØ ¹ß»ýÇÏ´Â °ÍÀÌ°í, ±¤´ë¿ª ¹è°æÀâÀ½Àº ÇÁ·ÎÆç·¯¿¡ ÀÇÇØ ¹æ»çµÈ ±âÆ÷¿Í ¼±Ã¼ÀÇ ÁÖÀ§ ¹°ÀÇ È帧 µîÀ¸·Î ÀÎÇØ ¹ß»ýÇÏ´Â °ÍÀÌ´Ù. ÀÌ¿Í °°Àº ±âµ¿ÇÔÁ¤ÀÇ ¹æ»ç ¼ÒÀ½ÀÇ Å䳯 ½ÅÈ£¿Í ¹è°æ ÀâÀ½À» ºÐ¼®Çϸé ÇÔÁ¤ÀÇ Á¾·ù³ª ¼Óµµ µî¿¡ ´ëÇÑ Á¤º¸¸¦ ºÐ¼®ÇÒ ¼ö°¡ ÀÖ´Ù. ÀÌ ¶§ ¹è°æÀâÀ½ÀÇ ¼¼±â°¡ Å䳯 ½ÅÈ£¿¡ ºñÇÏ¿© Å« °æ¿ì´Â Å䳯 ½ÅÈ£¸¦ ¹è°æÀâÀ½À¸·ÎºÎÅÍ ºÐ¸®ÇϱⰡ ½±Áö ¾Ê´Ù. º» ¿¬±¸¿¡¼­´Â ATW(Automatic Tracking Window) Àüó¸® ¾Ë°í¸®ÁòÀ» ÀÌ¿ëÇÏ¿© ¹æ»ç ¼ÒÀ½ÀÇ ¹æÇâÀ» ŽÁöÇÏ°í, Ç¥Àû ¹æÇâÀ¸·Î ¹è¿­ ¼¾¼­ÀÇ ºöÀ» ÇüÇÏ¿© ½ÅÈ£¸¦ äÃëÇÑ´Ù. ¶ÇÇÑ ATW ¾Ë°í¸®ÁòÀ» ÀÌ¿ëÇÏ¿© ÀÌ ½ÅÈ£¿¡¼­ ±¤´ë¿ª ÀâÀ½¿¡ ¼¯¿© ÀÖ´Â ¹Ì¾àÇÑ Å䳯 ½ÅÈ£¸¦ ºÐ¸®ÇÒ ¼ö ÀÖ´Â ¹æ¹ýÀ» Á¦½ÃÇÑ´Ù.
¿µ¹®³»¿ë
(English Abstract)
The noise of maneuvering submarines or vessels can be divided into the tonal signals and broadband ambient noise. Tonal signals are from the revolution of motors and engines of vessels, and broadband ambient noise is from the bubbles which are generated by the propellers and the flow of water around vessels. We can analyze the kinds and the speed of vessels if we analyze the tonal signals and ambient noise. But, it is difficult to divide the tonal signals form the ambient noise when the power of tonal signal is much weaker than the power of ambient noise. In this paper, we detect the direction of arrival(DOA) of the noises generated by vessels with the automatic tracking window(ATW) preprocessing algorithm, and make a beam to the direction of the targets. We suggest a method which can separate weak tonal signals from broadband ambient noise with the ATW algorithm.
Å°¿öµå(Keyword) Sonar   DOA   Ambient noise   ATW algorithm  
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