Title :
Joint Blind Frame Synchronization and Encoder Identification for Low-Density Parity-Check Codes
Author :
Tian Xia ; Hsiao-Chun Wu
Author_Institution :
Sch. of Electr. Eng. & Comput. Sci., Louisiana State Univ., Baton Rouge, LA, USA
Abstract :
In this paper, the problem involving joint blind frame synchronization and encoder identification for binary low-density parity-check (LDPC) codes of binary phase-shift keyed (BPSK) signals is tackled. The unknown encoder and time-delay can be blindly estimated simultaneously using the average log-likelihood ratios (LLRs) of syndrome a posteriori probability (APP). A new two-stage search method with a search step of size q by exploiting the quasi-cyclic nature of the parity-check matrix is devised to reduce the complexity of the blind frame synchronization algorithm. Numerous Monte Carlo simulations are evaluated to demonstrate the effectiveness of the new joint blind frame-synchronization and encoder-identification scheme for multi-path situations.
Keywords :
Monte Carlo methods; parity check codes; phase shift keying; probability; search problems; APP; LDPC codes; Monte Carlo simulations; a posteriori probability; binary phase-shift keyed signals; encoder identification scheme; joint blind frame synchronization algorithm; log-likelihood ratios; low-density parity-check codes; parity-check matrix; quasi-cyclic nature; two-stage search method; Binary phase shift keying; Delay effects; Joints; Parity check codes; Receivers; Synchronization; Transmitters; Blind encoder identification; LDPC codes; blind frame synchronization; multi-path channels;
Journal_Title :
Communications Letters, IEEE
DOI :
10.1109/LCOMM.2013.123113.132241