A shortwave wideband specific signal detection algorithm based on frequency-sensitive attention is proposed to improve the accuracy of specific signal detection and recognition in a shortwave complex electromagnetic environment. A frequency-sensitive attention mechanism with a narrow and long shape receptive field is designed based on the correlation in the time direction and the locality in the frequency direction of shortwave specific signals in the spectrogram， and an end-to-end shortwave specific signal detector frequency sensitive signal detector （FSSDet） is constructed on this basis by segmenting the feature map into strip block along the time-axis direction and calculating the self-attention in the strip block， capturing the long-distance dependence in time-axis direction and limiting the sensing range in frequency-axis direction. FSSDet can directly output the modulation type of several specific signals， as well as important parameter information such as start and end time， center frequency， and bandwidth when a spectrogram of a shortwave wideband signal is given as input. Experiments are carried out on a simulation dataset of 47 880 samples from eight classes， and the proposed method has mean average precision （mAP） as high as 98.5 above 0 dB and remains above 72.5 when the signal noise ratio （SNR） is as low as -10 dB. The results show that the proposed method detects and recognizes short wave specific signals with high accuracy and robustness under low SNR.