2009³â Ãß°èÇмú´ëȸ
Current Result Document :
ÇѱÛÁ¦¸ñ(Korean Title) |
LLR ±Ù»çÈ¿¡ µû¸¥ LDPC µðÄÚ´õÀÇ ¼º´É ºÐ¼® |
¿µ¹®Á¦¸ñ(English Title) |
An analysis of the effects of LLR approximation on LDPC decoder performance |
ÀúÀÚ(Author) |
³ª¿µÇå
Á¤»óÇõ
½Å°æ¿í
Yeong-Heon Na
Sang-Hyeok Jeong
Kyung-Wook Shin
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¿ø¹®¼ö·Ïó(Citation) |
VOL 13 NO. 02 PP. 0405 ~ 0409 (2009. 10) |
Çѱ۳»¿ë (Korean Abstract) |
º» ³í¹®¿¡¼´Â LLR (Log-Likelihood Ratio) ±Ù»çÈ°¡ LDPC (Low-Density Parity Check) º¹È£±âÀÇ ¼º´É¿¡ ¹ÌÄ¡´Â ¿µÇâÀ» ºÐ¼®ÇÏ¿´À¸¸ç, À̸¦ ÅëÇØ LDPC º¹È£±âÀÇ ÃÖÀû ¼³°èÁ¶°ÇÀ» µµÃâÇÏ¿´´Ù. LLR ÇÕ-°ö (LLR sum-product) LDPC º¹È£ ¾Ë°í¸®µëÀ» ±Ù»çȽÃŲ ÃÖ¼ÒÇÕ ¾Ë°í¸®µë (Min-Sum Algorithm; MSA)À» MatlabÀ¸·Î ¸ðµ¨¸µÇÑ ÈÄ, ½Ã¹Ä·¹À̼ÇÀ» ÅëÇØ ±Ù»çÈ ºñÆ® Æø°ú ÃÖ´ë ¹Ýº¹ º¹È£ Ƚ¼ö¿¡ µû¸¥ ºñÆ®¿ÀÀ² (BER) ¼º´ÉÀ» ºÐ¼®ÇÏ¿´´Ù. ¸ðµ¨¸µµÈ LDPC º¹È£±â´Â IEEE 802.11n Ç¥ÁØ¿¡ Á¦¾ÈµÈ ºí·Ï±æÀÌ 1,944ºñÆ®, ºÎÈ£ÈÀ² 1/2ÀÎ Æи®Æ¼ °Ë»ç Çà·ÄÀ» »ç¿ëÇÏ¿´À¸¸ç, QPSK º¯Á¶¿Í ¹é»ö °¡¿ì½Ã¾È ÀâÀ½Ã¤³Î ÇÏ¿¡¼ ½Ã¹Ä·¹ÀÌ¼Ç ÇÏ¿´´Ù. LLR ±Ù»çÈ¿¡ µû¸¥ ºñÆ®¿ÀÀ² ¼º´ÉÀ» ºÐ¼®ÇÑ °á°ú, LLR ºñÆ® ÆøÀº (7,5)ÀÌ°í ¹Ýº¹º¹È£ Ƚ¼ö´Â 7ÀÎ °æ¿ì¿¡ ºñÆ®¿À·ü ¼º´ÉÀÌ °¡Àå ¿ì¼öÇÔÀ» È®ÀÎÇÏ¿´´Ù.
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¿µ¹®³»¿ë (English Abstract) |
In this paper, the effects of LLR (Log-Likelihood Ratio) approximation on LDPC (Low-Density Parity-Check) decoder performance are analyzed, and optimal design conditions of LDPC decoder are derived. The min-sum LDPC decoding algorithm which is based on an approximation of LLR sum-product algorithm is modeled and simulated by MATLAB, and it is analyzed that the effects of LLR approximation bit-width and maximum iteration cycles on the bit error rate (BER) performance of LDCP decoder. The parity check matrix for IEEE 802.11n standard which has block length of 1,944 bits and code rate of 1/2 is used, and AWGN channel with QPSK modulation is assumed. The simulation results show that optimal BER performance is achieved for 7 iteration cycles and LLR bit-width of (7,5).
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Å°¿öµå(Keyword) |
LDPC
error correction code
LLR approximation
IEEE 802.11n
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ÆÄÀÏ÷ºÎ |
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