• Àüü
  • ÀüÀÚ/Àü±â
  • Åë½Å
  • ÄÄÇ»ÅÍ
´Ý±â

»çÀÌÆ®¸Ê

Loading..

Please wait....

±¹³» ³í¹®Áö

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 : 2 / 4 ÀÌÀü°Ç ÀÌÀü°Ç   ´ÙÀ½°Ç ´ÙÀ½°Ç

ÇѱÛÁ¦¸ñ(Korean Title) ÀϹÝÈ­ °ø°£º¯Á¶¸¦ À§ÇÑ Àúº¹Àâµµ °­ÀÎ ÃÖ´ë ¿ìµµ ½ÅÈ£ °ËÆÄ
¿µ¹®Á¦¸ñ(English Title) Low-Complexity Robust ML Signal Detection for Generalized Spatial Modulation
ÀúÀÚ(Author) ±èÁ¤ÇÑ   À±Å¼±   ¿À¼¼ÈÆ   ÀÌ°æõ   Jeong-Han Kim   Tae-Seon Yoon   Se-Hoon Oh   Kyungchun Lee  
¿ø¹®¼ö·Ïó(Citation) VOL 21 NO. 03 PP. 0516 ~ 0523 (2017. 03)
Çѱ۳»¿ë
(Korean Abstract)
º» ³í¹®¿¡¼­´Â ´ÙÁß ¾ÈÅ׳ª ±¸Á¶ Áß ÀϺΠ¼Û½Å ¾ÈÅ׳ª¸¸ È°¼ºÈ­ÇÏ°í È°¼º ¾ÈÅ׳ªÀÇ À妽º¸¦ ÅëÇØ Á¤º¸¸¦ Àü¼ÛÇÏ´Â ÀϹÝÈ­ °ø°£º¯Á¶(Generalized Spatial Modulation)½Ã½ºÅÛÀ» À§ÇÑ ÃÖ´ë¿ìµµ ½ÅÈ£ °ËÆÄ ¹æ¹ýÀ» Á¦¾ÈÇÑ´Ù. Á¦¾È ÃÖ´ë ¿ìµµ ¼ö½Å±â´Â ±âÁ¸ÀÇ Ã¤³Î Á¤º¸ ¿ÀÂ÷¿¡ °­ÀÎÇÑ ÃÖ´ë ¿ìµµ ¼ö½Å±â¿Í ºñ±³ÇÏ¿© °øºÐ»ê Çà·ÄÀ» ÃßÁ¤ÇÒ ¶§ Èĺ¸ ÇØ ÁýÇÕÀ» È®·üÀûÀ¸·Î ÃßÃâÇÏ¿© °øºÐ»ê Çà·ÄÀ» ÃßÁ¤ÇÔÀ¸·Î½á ½Ã½ºÅÛ º¹Àâµµ¸¦ Å©°Ô ÁÙÀ̵µ·Ï ÇÑ´Ù. ¸ðÀÇ ½ÇÇèÀ» ÅëÇØ Á¦¾È ÃÖ´ë ¿ìµµ ¼ö½Å±â°¡ ±âÁ¸ÀÇ Ã¤³Î Á¤º¸ ¿ÀÂ÷¸¦ °í·ÁÇÏÁö ¾Ê´Â ¼ö½Å±âº¸´Ù ³ôÀº ¼ö½Å ¼º´ÉÀ» °¡Áö¸ç, ±âÁ¸ °­ÀÎ ÃÖ´ë¿ìµµ ¼ö½Å±â¿Í ºñ±³ÇÏ¿© µ¿ÀÏÇÑ ºñÆ® ¿À·ùÀ² ¼º´ÉÀ» °¡Áö¸é¼­µµ Å« ÆøÀ¸·Î °è»ê º¹Àâµµ¸¦ ³·ÃãÀ» È®ÀÎÇÏ¿´´Ù.
¿µ¹®³»¿ë
(English Abstract)
In this paper, we propose a maximum likelihood signal detection scheme for a generalized spatial modulation system that activates only a subset of transmit antennas among multiple antennas and transmits information through the indexes of active antennas as well as through the transmit symbols. The proposed maximum likelihood receiver extracts a set of candidate solutions based on their a posteriori probabilities to lower the computational load of the robust receiver under channel information errors. Then, the chosen candidate solutions are exploited to estimate the covariance matrix of effective noise. Simulation results show that the proposed maximum likelihood detection scheme achieves better error performance than a receiver that does not take into account the channel information errors. It is also seen that it reduces the computational complexity with the same bit error rate performance as the conventional robust maximum likelihood receiver.
Å°¿öµå(Keyword) °ø°£º¯Á¶   ÀϹÝÈ­ °ø°£º¯Á¶   ä³Î Á¤º¸ ¿ÀÂ÷   ÃÖ´ë ¿ìµµ ¼ö½Å±â   Spatial Modulation   Generalized Spatial Modulation   Channel Information Error   Maximum Likelihood Detection  
ÆÄÀÏ÷ºÎ PDF ´Ù¿î·Îµå