- Turbo Product Codes Based on Convolutional Codes
- Turbo Product Codes Based on Convolutional Codes
- ㆍ 저자명
- Gazi. Orhan,Yilmaz. Ali Ozgur
- ㆍ 간행물명
- ETRI journal
- ㆍ 권/호정보
- 2006년|28권 4호|pp.453-460 (8 pages)
- ㆍ 발행정보
- 한국전자통신연구원
- ㆍ 파일정보
- 정기간행물|ENG| PDF텍스트
- ㆍ 주제분야
- 기타
In this article, we introduce a new class of product codes based on convolutional codes, called convolutional product codes. The structure of product codes enables parallel decoding, which can significantly increase decoder speed in practice. The use of convolutional codes in a product code setting makes it possible to use the vast knowledge base for convolutional codes as well as their flexibility in fast parallel decoders. Just as in turbo codes, interleaving turns out to be critical for the performance of convolutional product codes. The practical decoding advantages over serially-concatenated convolutional codes are emphasized.