Kalman Filter-Based Chip Differential Blind Adaptive Multiuser Detection for Variably Mobile Asynchronous Underwater Multiuser Communications
Kalman Filter-Based Chip Differential Blind Adaptive Multiuser Detection for Variably Mobile Asynchronous Underwater Multiuser Communications
复制标题
基于卡尔曼滤波器的芯片差分盲自适应多用户检测，用于可变移动异步水下多用户通信
DOI：
10.1109/access.2018.2868475
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发表时间：
2018-09
期刊：
影响因子：
3.9
通讯作者：
etc.
中科院分区：
文献类型：
--
作者：
G. Yang;Q. Guo;etc.
针对多移动的异步水下多用户通信（VMAUMC）中的码间干扰（ISI）、多址干扰（MAI）以及数据包内不同多普勒频移的影响，提出了一种基于卡尔曼滤波的码片差分盲自适应多用户检测（D-KF-BAMUD）算法。采用基于卡尔曼滤波的盲自适应多用户检测（KF-BAMUD）算法对抗静态用户情况下的码间干扰和多址干扰，并通过水下和冰下多用户通信实验验证了KF-BAMUD算法的有效性。为了解决更具挑战性的VMAUMC，提出了一种在芯片级操作的差分调制和解调技术，以减少多普勒补偿后的多普勒频移残留的影响，每个数据包内的平均多普勒频率偏移。将该技术与KF-BAMUD算法相结合，得到D-KF-BAMUD算法，该算法能够有效地同时处理VMAUMC中的ISI、MAI和多普勒频移残留的影响。本文报道了我们于2016年4月在松花江上进行的VMAUMC实验（7个用户，数据速率7.87 bit/s，每个数据包中的相对速度高达2 m/s，换能器与水听器之间的水平距离为200 m），令人鼓舞的实验结果证明了所提出的系统和D-KF-BAMUD算法的有效性。
To mitigate the inter-symbol interference (ISI), multiple access interference (MAI), and the effect of different Doppler shifts within a data package incurred in variably mobile asynchronous underwater multiuser communications (VMAUMC), a Kalman filter-based chip differential blind adaptive multiuser detection (D-KF-BAMUD) algorithm is proposed in this paper. The Kalman filter-based blind adaptive multiuser detection (KF-BAMUD) algorithm has been adopted to combat ISI and MAI in the scenario of static users, and underwater and under-ice multiuser communication experiments have been carried out to verify the effectiveness of the KF-BAMUD algorithm. To tackle the more challenging VMAUMC, a differential modulation and demodulation technique operating at the chip level is proposed to reduce the impact of Doppler shift residues after the Doppler compensation with an average Doppler frequency offset within each data package. The technique is combined with the KF-BAMUD algorithm, leading to the D-KF-BAMUD algorithm, which is able to effectively handle ISI, MAI, and the effect of Doppler shift residues simultaneously in VMAUMC. This paper reports our experiments on VMAUMC carried out in Songhua River in April 2016 (seven users, data rate 7.87 bit/s, up to 2 m/s variably relative velocity in each data package, and horizontal distance 200-m shallow-water channel between transducer and hydrophone), and the encouraging experimental results demonstrate the effectiveness of the proposed system and the D-KF-BAMUD algorithm.
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