Title :
The detection of transient signals based on gabor transform
Author :
Xiong, Shujun ; Wu, Ying
Author_Institution :
Zhejiang Inf. Sci. & Technol., Hangzhou
Abstract :
To detect signals with low probability of interception (LPI) such as short transient signals, a method based on time-frequency analyses and correlation is presented in this paper. Gabor transform and a special correlation algorithm is used to process signals. The target signal is detected by the correlation peak value. The simulation results show that this method can detect transient signals effectively even in low signal-to-noise ratio situation
Keywords :
correlation methods; signal detection; time-frequency analysis; transforms; Gabor transform; correlation method; low probability of interception; signal-to-noise ratio; time-frequency analyses; transient signal detection; Detectors; Equations; Information science; Signal detection; Signal processing; Signal processing algorithms; Signal to noise ratio; Time frequency analysis; Wavelet analysis; Wavelet transforms;
Conference_Titel :
Signal Processing, 2006 8th International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-9736-3
Electronic_ISBN :
0-7803-9736-3
DOI :
10.1109/ICOSP.2006.344492
