With the extensive research of multiantenna technology, beamforming (BF) will play an important role in the future communication systems due to its high transmission gain and satisfying directivity. If we can detect the non-cooperative beams, it is of great significance in counter reconnaissance, beam tracking, and spectrum sensing of multiantenna transmitters. This paper investigates the wireless sensor networks (WSNs), which is used to detect the unknown non-cooperative beam signal. In order to perceive the presence of beam signals without the prior information, we first derive the detection probability based on the sensors’ received signal strength (RSS). Then, based on the strong directivity of the beam signal, we propose an improved “k rank” fusion algorithm by jointly exploiting the energy detection (ED) information and location information of the sensors. Finally, the beam detection performance of different fusion algorithms is compared in simulation, and we find that our proposed algorithm showed better detection probability and lower error probability. The simulation results verify the correctness and effectiveness of the proposed algorithm.

中文翻译：

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基于无线传感器网络的非合作光束信号检测

随着多天线技术的广泛研究，波束成形（BF）由于其高传输增益和令人满意的方向性，将在未来的通信系统中扮演重要角色。如果我们能够检测到非合作波束，这在多天线发射机的反侦察，波束跟踪和频谱感测中具有重要意义。本文研究了用于检测未知的非合作波束信号的无线传感器网络（WSN）。为了在没有先验信息的情况下感知光束信号的存在，我们首先根据传感器的接收信号强度（RSS）得出检测概率。然后，基于光束信号的强方向性，我们提出了一种改进的“ k通过联合利用传感器的能量检测（ED）信息和位置信息来实现“等级”融合算法。最后，在仿真中比较了不同融合算法的光束检测性能，发现所提出的算法具有更好的检测概率和更低的错误概率。仿真结果验证了所提算法的正确性和有效性。