Design and realization of radio intellectual sensing instrument
In an electromagnetic environment that is more and more complex,in order to solve the problems of traditional electromagnetic perception devices such as large volume,cumbersome manual operations,low recognition accuracy,and large computational complexity,this study designed a wireless intelligent perception instrument and proposed a signal spectrum energy detection algorithm based on sliding windows to improve recognition accuracy;And then,a recognition algorithm based on lightweight neural network was proposed to reduce the size of the model and computation;Finally,the hardware module of the wireless intelligent perception instrument was designed and built,and the algorithm was deployed.The experimental results show that the designed wireless intelligent perception instrument has good performance in signal perception tasks.In signal-to-noise ratio environments of 0dB or above,the accuracy of modulation recognition can reach over 95%,with the recall and accuracy for different signal modulation types are above 93%.After lightweight deployment,the model reduces the floating-point computational load by 99.07%,while the accuracy only decreases by 0.25%.This conclusion can be used to guide the design and production process of wireless spectrum sensing equipment in a complex electromagnetic environment.