Blind data detection is widely investigated since it finds many crucial applications in the interference cancelation, cognitive radio, and military interception, etc. In this letter, we propose a blind iterative algorithm that simultaneously improves the performance of channel coding identification and data detection in the communication system with the unknown channel coding and the unknown fading channels. First, the likelihood-based channel estimator and the soft detector and regenerator are adopted in an iterative manner, which estimates the unknown parameters and detects the information bits. Then, an average log-likelihood ratio (LLR) classifier is adopted to identify the unknown channel coding and determine the information bits. Numerical results show that the proposed algorithm outperforms the existing scheme in terms of correct identification and data detection.

中文翻译：

---

未知信道编码的盲数据检测


盲数据检测因其在干扰消除、认知无线电和军事拦截等方面有许多关键应用而受到广泛研究。在这封信中，我们提出了一种盲迭代算法，可以同时提高信道编码识别和数据检测的性能。具有未知信道编码和未知衰落信道的通信系统。首先，以迭代方式采用基于似然的信道估计器以及软检测器和再生器，估计未知参数并检测信息比特。然后，采用平均对数似然比（LLR）分类器来识别未知信道编码并确定信息比特。数值结果表明，该算法在正确识别和数据检测方面优于现有方案。