基于恒虚警的海事卫星BGAN信号快速盲检测

A FAST Blind Detection Algorithm based on CFAR for Inmarsat BGAN

深入研究海事卫星BGAN系统的信号特征,提出了对BGAN信号进行实时检测的快速盲检测算法。算法基于恒虚警精确估计噪声的统计特性设置信噪分离的门限,通过对BGAN信号的时隙长度、调制类型及码元速率等特性的估计识别,实现对BGAN信号的快速盲检测,并为后续信息还原提供重要的前提。仿真结果表明,算法能够在较低的信噪比下实现对BGAN信号的快速准确盲检测。此外,该算法实时性好、检测性能高,通用性好,更能满足实际工程实现的需要。

By studying of signal characteristics of Inmarsat BGAN system,a fast blidn detection of Inmarsat BGAN signals real-time is proposed.In this paper the algorithm is based on CFAR to estimate the statistical characteristics of noise accurately,and then the threshold of signal noise separation is set up, through to the BGAN signal time slot length bit-rate, modulation type and estimate the characteristic of recognition, so as to realize the fast of the BGAN signal blind detection, and provides the important information for the subsequent reduction of the premise. Simulation results show that the proposed algorithm can achieve fast and accurate blind detection of BGAN signals at low snr.In addition,the algorithm has good real-time performance,high detection performance and good general purpose,which can meet the needs of practical engineering implementation.