Underwater Acoustic Single-Tone Signal Detection Based on Spectral Trend Term Fitting

摘要

Due to the complexity of underwater environment, the signal spectrum received by hydrophone usually contains unfavorable spectral trend term, which will seriously affect the detection of underwater acoustic single-tone signal. This paper presents a spectral trend term elimination method based on polynomial function fitting, which can effectively improve the detection performance of single-tone signal. In addition, the fitting order and numerical stability are also considered. Finally, the proposed algorithm was verified through the lake test.