A Kalman Filter-Based Blind Adaptive Multi-User Detection Algorithm for Underwater Acoustic Networks
A Kalman Filter-Based Blind Adaptive Multi-User Detection Algorithm for Underwater Acoustic Networks
复制标题
基于卡尔曼滤波器的水声网络盲自适应多用户检测算法
DOI：
10.1109/jsen.2015.2464814
复制
发表时间：
2016-06-01
影响因子：
4.3
通讯作者：
Zhou, Huanling
中科院分区：
文献类型：
--
作者：
Yang, Guang;Yin, Jingwei;Zhou, Huanling
提出一种适用于水声通信网络的基于水声卡尔曼滤波器的盲自适应多用户检测算法。利用该算法可以有效提高水声传感器网络多用户通信的系统容量，降低发射功率和功率控制成本，延长多用户通信距离，削弱或消除码间干扰、多址干扰和远近效应，从而有效利用有限的水下频段资源。首先，建立了水声多用户通信系统的动态模型和该算法的最优滤波器方程。其次，分析计算复杂度，并针对超额平均输出能量进行收敛性分析。最后，对标量和矢量水听器进行了水池、河流、海洋和冰下异步通信实验。良好的实验结果验证了所提算法的有效性。
An underwater acoustic Kalman filter-based blind adaptive multi-user detection algorithm, suitable for underwater acoustic communication networks, is proposed in this paper. The algorithm can be employed to effectively improve the system capacity of multi-user communication in underwater acoustic sensor networks, reduce transmitting power and costs on power control, extend the multi-user communication distance, weaken or eliminate intersymbol interference, multiple access interference and near-far effect, thus effectively utilizing limited underwater frequency band resource. First, the dynamic model of underwater acoustic multi-user communication system and the optimal filter equation of the proposed algorithm are found. Second, computation complexity is analyzed, and convergence analysis is carried out in terms of excess mean output energy. Finally, pool, river, sea, and under-ice asynchronous communication experiments have been carried out for both the scalar and the vector hydrophones. Good experimental results verify the effectiveness of the proposed algorithm.