舞台载波通信自适应跳频抗干扰仿真分析

Simulation and analysis of adaptive frequency hopping anti-jamming for stage carrier communication

目前文艺演出发展受舞台机械、灯光、音响等各控制系统协同困难、信号干扰严重、可靠性差等因素制约难以出现突破性的进展,为构建稳定可靠高效的舞台设备通信系统进一步促进演艺技术的发展,在对舞台设备实际运行环境进行研究后,提出一种基于深度网络的舞台载波通信自适应跳频抗干扰技术。首先利用模型获取大量舞台电力线传输频道参数,然后利用深度神经网络训练自适应跳频抗干扰模型,该模型可以根据舞台电力线通信环境自适应选择通信频段。实验证明,该技术可以根据舞台通信电力线环境的干扰情况快速有效的选择稳定的通信频段,信噪比接近-18 dB时,误码率相比传统方法缩小近10倍,在提高通信效率的同时进一步提高了舞台设备间通信的可靠性和稳定性。

At present,the development of performances has evolved from factors such as auxiliary failures,severe signal interference,and poor signal interference in various control systems such as performing arts,stage machinery,sound,and equipment development.The development of stable and reliable stage equipment is developed for the evolution of performance and performance,and the actual operation of stage equipment After environmental research,an adaptive frequency hopping anti-jamming technology for stage carrier communication based on deep network is proposed.First,the model is used to obtain a large number of stage power line transmission channel parameters,and then a deep neural network is used to train an adaptive frequency hopping anti-jamming model,which can adaptively select the communication frequency band according to the stage power line communication environment.Experiments have proved that this technology can quickly and effectively select a stable communication frequency band according to the interference situation of the stage communication power line environment.When the signal-to-noise ratio is close to-18 dB,the bit error rate is reduced by nearly 10 times compared with the traditional method,which improves the communication efficiency while further improving the reliability and stability of communication between stage equipment.