2004
DOI: 10.1109/tcomm.2004.823636
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Frame Synchronization for Coded Systems Over AWGN Channels

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Cited by 43 publications
(21 citation statements)
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“…In Fig. 4 we can see that applying the SS algorithm to synchronize the RS (7,5) 2 product code does not yield good results. For a synchronization window of size M = 1 block and at a FER equal to 10 −2 , a gap of around 1 dB is observed between the SS and the perfect synchronization case.…”
Section: Simulation Resultsmentioning
confidence: 98%
See 1 more Smart Citation
“…In Fig. 4 we can see that applying the SS algorithm to synchronize the RS (7,5) 2 product code does not yield good results. For a synchronization window of size M = 1 block and at a FER equal to 10 −2 , a gap of around 1 dB is observed between the SS and the perfect synchronization case.…”
Section: Simulation Resultsmentioning
confidence: 98%
“…The major drawback of such techniques is in reducing the spectral efficiency of the transmission especially when codes of small sizes are used in the system. Other works propose to take advantage of the code structure and consider frame synchronization jointly with the decoding as in [6,7]. In [8], the authors propose to encode synchronization bits as part of the data sequence.…”
Section: Introductionmentioning
confidence: 99%
“…In particular, considering methods applying to CMAP-based receivers (5), the ML-based approaches proposed in the literature, see e.g., [19], [21], exhibit a complexity equal to |B| times the complexity of one CMAP decoding operation. From our previous reasoning, we come therefore to the conclusion that the proposed method has a computational complexity equal or even lower (in the cycle-free case) than these methods.…”
Section: E Implementation and Complexitymentioning
confidence: 99%
“…Among CA ambiguity-resolution methods, one can distinguish between two main approaches: the authors either propose ad-hoc algorithms based on the fact that some decoder metrics vary as a function of the considered hypotheses [15]- [19], or place the CA ambiguity-resolution problem in the context of maximum a posteriori (MAP) or ML estimation, [20]- [22]. In the latter class of algorithms, [20] modifies the likelihood function by only keeping its largest term and decides whether the current estimate is true or not by a threshold decision on this modified likelihood function.…”
Section: Introductionmentioning
confidence: 99%
“…이 방법에서 동기화 시퀀스는 수신기가 수신 신호를 감지하 고, 데이터 패킷의 위치를 결정하기 위해 데이터 시퀀스 에 더해진다 [5] . 프레임 동기화는 수신기에서 이루어지며, 송신기에서 사용된 동기화 시퀀스와 수신 신호의 상관 값을 계산하여 최대가 되는 지점을 찾는 과정을 수행한 다 [6] . 동기화 시퀀스에 사용되는 코드로는 PN 코드, Kasami 코드 [7] , Walsh 코드, orthogonal variable spreading factor(OVSF) [8] , 골드 코드 등이 있다.…”
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