A detection algorithm based on energy feature extraction is proposed for the detection of frequency-hopping signals in complex environments.The algorithm can accurately determine the existence of frequency hopping signal in the channel.Firstly

the receiving data is projected into the energy domain to be whitened

and the color noise in the receiving signal is suppressed.Then

the time-domain continuous signal in the channel is extracted through the energy distribution feature to remove the short-term burst signal in the receiving signal.Finally

the channel processing is used to decompose the receiving signal into each subchannel and detect the existence of frequency-hopping signal by means of short-term energy cancellation.The statistical properties of the algorithm

the false alarm probability and the detection probability are theoretically derived

and the experimental simulation is carried out to verify the effectiveness of the algorithm.