A Short-time Burst Signal Detection Method Based on Cumulative Autocorrelation
Gao Chunfang, Wei Xiaoji · 2022
With the innovation of network communication technology, short-time burst communication has been developed in time compression technology to a certain extent, which brings great challenges to blind signal receiving technology. However, in the blind reception of non-cooperative signals, signal time domain detection is the prerequisite and key of signal modulation parameter estimation, signal demodulation, decoding, interpretation, information acquisition and interference guidance. Therefore, under the condition of low SNR and short burst time, it is of great significance to study signal time domain detection method for blind signal reception. To solve the above problems, this paper proposes a double sliding window detection algorithm based on cumulative autocorrelation. When the SNR is higher than 5dB, the detection accuracy of the algorithm can reach 90%.