一种基于卡尔曼滤波器的联合检测

由于实际无线信道环境的随机性,所以很难精确估计信道高斯白噪声,传统联合检测算法应用在实际通信系统中的性能很不稳定,因此针对此不足提出了一种新型Kalman滤波器联合检测方法,并对其方法进行了详细的阐述,在系统中进行了性能仿真,对其工作性能进行了分析,通过分析验证了此方法在实际系统中的可行性,对主要工作进行了全面总结,提出了进一步研究和改进的方向,为工程应用提供联合检测算法实现和算法性能等方面的参考。

A kind of Joint Detection base on Klman filter

For the randomness of the real wirelesss channel,it is hard to precisely estimate AWGN,while the traditional JD algorithms are not so reliable in the real system.Thus,a novel JD algorithm based on Kalman filter is proposed and analyzed in detail.Performance simulation indicates that the proposed JD algorithm is applicable in the real system.Meanwhile,the main work is summarized the further study and improvement direction also suggested.Finally a reference is provided for engineering application in JD algorithm implementation and algorithm performance.