Multi-access interference (MAI) is the main source limiting the capacity and quality of the multiple-input multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) system which fulfills the demand of high-speed transmission rate and high quality of service for future underwater acoustic (UWA) communication. Therefore, multi-user detection (MUD) is needed at the receiver of the MIMO-OFDM system to suppress the effect of MAI. In this research, MUD is achieved by using a criterion based adaptive recursive successive interference cancellation (RSIC) scheme at the receiver of a MIMO-OFDM system whose transceiver model in underwater communication is implemented by using the Bellhop simulation system. The proposed scheme estimates and eliminates the MAI through user signal detection and subtraction from received signals at the receiver of the MIMO-OFDM system in underwater environment. The bit error rate (BER) performance of the proposed scheme is analyzed by using weight filtering and weight selection criteria. By Matlab simulation, it is shown that the BER performance of the proposed scheme outperforms the conventional matched filter(MF) detector, the adaptive successive interference cancellation(SIC) scheme, and the adaptive RSIC scheme in the UWA network.

中文翻译：

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水下通信中基于准则的自适应RSIC方案

多址干扰（MAI）是限制多输入多输出正交频分复用（MIMO-OFDM）系统的容量和质量的主要来源，它满足了高速传输速率和高服务质量的需求。未来的水下声（UWA）通信。因此，在MIMO-OFDM系统的接收机处需要多用户检测（MUD）以抑制MAI的影响。在这项研究中，MUD是通过在MIMO-OFDM系统的接收器处使用基于准则的自适应递归连续干扰消除（RSIC）方案实现的，该系统的水下通信中的收发器模型是通过Bellhop仿真系统实现的。所提出的方案通过在水下环境中的MIMO-OFDM系统的接收机处通过用户信号检测和从接收信号中减去信号来估计和消除MAI。通过使用权重过滤和权重选择标准来分析所提出方案的误码率（BER）性能。通过Matlab仿真表明，该方案的BER性能优于UWA网络中的常规匹配滤波器（MF）检测器，自适应连续干扰消除（SIC）方案和自适应RSIC方案。