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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。
Due to the random nature of the actual wireless channel environment, it is difficult to accurately estimate the channel Gaussian white noise, the performance of the traditional joint detection algorithm applied in real communication system is very unstable, so a new Kalman filter joint detection method The method is described in detail. The performance simulation is carried out in the system and the performance of the system is analyzed. The feasibility of this method in the actual system is verified by analysis. The main work is summarized, For further research and improvement of the direction for the application of joint detection algorithms to achieve and algorithm performance and other aspects of reference.