中文摘要：

译码性能的涡轮将在为剩余频率和阶段的原因的条件在搬运人抵消的低 signal-to-noise 比率(SNR ) 下面承受严肃的降级。在这份报纸，一个改进剩余搬运人频率偏移量评价算法基于 u priori 概率帮助了(APPA ) 阶段评价被建议。一起联合反复的涡轮解码器和阶段评估者的一个搬运人同步环被构造，在从涡轮解码器获得的外来的信息被用来帮助反复的阶段评价进程的地方。算法在很低的 SNR 下面成功地执行的模拟结果表演调节(例如，不到 -7.4 dB ) 与大频率偏移量和阶段错误和这的表演，算法离最佳地同步的系统很靠近。

英文摘要：

The Turbo decoding performance will suffer serious degradation under low signal-to-noise ratios （SNR） conditions for the reason of residual frequency and phase offset in the carrier. In this paper, an improved residual carrier frequency offset estimation algorithm based on a priori probability aided （APPA） phase estimation is proposed. A carrier synchronization loop that combines the iterative turbo decoder and the phase estimator together is constructed, where the extrinsic information obtained from the Turbo decoder is used to aid an iterative phase estimation process. The simulation results show that the algorithm performs successfully under very low SNR conditions （for example, less than -7.4 dB） with large frequency offset and phase error and the performance of this algorithm is very close to the optimally synchronized system.