For massive multiple-input multiple-output (MIMO) distributed wireless sensor networks, this paper investigates the role of multi-antenna sensors in improving network perception performance. First, we construct a distributed multi-antenna sensor network based on massive MIMO. By using the anti-fading characteristics of multi-antennas, it is better to achieve accurate detection than the single-antenna sensor network. Based on this, we derive a closed-loop expression for the detection probability of the best detector. Then, we consider the case that the sensor power resources are limited, and thus we want to use finite power to achieve higher detection probability. For this reason, the power was optimized by the alternating direction method of multipliers (ADMM). Moreover, we also prove that only statistical channel state is needed in large-scale antenna scenarios, which avoid the huge overhead of channel state information. Finally, according to the simulation results, the multi-antenna sensor network has better detection performance than the single-antenna sensor network which demonstrates the improved performance of the proposed schemes and also validates the theoretical findings.

中文翻译：

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多天线无线传感器网络中基于大规模MIMO的分布式信号检测。

对于大规模多输入多输出（MIMO）分布式无线传感器网络，本文研究了多天线传感器在改善网络感知性能中的作用。首先，我们基于大规模MIMO构建了分布式多天线传感器网络。通过使用多天线的抗衰落特性，比单天线传感器网络更好地实现精确检测。基于此，我们得出最佳检测器检测概率的闭环表达式。然后，我们考虑传感器功率资源有限的情况，因此我们想使用有限功率来实现更高的检测概率。因此，功率是通过乘法器的交替方向方法（ADMM）进行优化的。此外，我们还证明，在大规模天线场景中仅需要统计信道状态，从而避免了信道状态信息的巨大开销。最后，根据仿真结果，多天线传感器网络具有比单天线传感器网络更好的检测性能，这证明了所提方案的改进性能，并验证了理论发现。