Research on SPA-based target acoustic signal trend term removal

When intelligent fuse is detecting target acoustic signal, affected by external interference and other factors, the signal may bring on trend term. Existence of trend term may cause direct influence on the accuracy of target acoustic signal, so that it should be removed. In allusion to the problems in existing trend term removal methods, such as trend term type should be assumed in advance, and the calculation process is quite complicated, a smoothness priors approach based method is proposed to remove trend term of target acoustic signal. 3 categories of target acoustic signals were processed in the research. According to the results, the approach is effective in removing trend term of time domain waveform and power spectrum of target acoustic signal. Moreover, the method is simple and efficient, and is applicable to the trend term removal preprocessing of target sound signal.