Research on Detection Algorithms of Weak Electromagnetic Spectrum Signal
Yanqin Zuo, Chong Cao, Yu Zhu · 2023
The weak electromagnetic spectrum signal drowned in the noise is difficult to be detected and identified. To solve this problem, the frequency-domain superposition algorithm and the power-entropy algorithm are proposed respectively. Considering the actual electromagnetic spectrum signals detection scenario, three types of experimental scenarios in which the DS-BPSK signal invades the frequency bands of FM, QPSK and 16QAM signals are simulated. By comparing the advantages and disadvantages of two different algorithms, it is proved that the power-entropy algorithm is much more effective. Even there exists the strong electromagnetic spectrum signal, the weak electromagnetic spectrum signal can be easily distinguished and not be ignored.