Wavelet threshold method of resolving noise interference in periodic short-impulse signals chaotic detection |
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| Authors: | Deng Ke ZhangLu and Luo Mao-Kang |
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| Affiliation: | Institute of Mathematics, Sichuan University, Chengdu 610065, China |
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| Abstract: | The chaotic oscillator has already been considered as a
powerful method to detect weak signals, even weak signals
accompanied with noises. However, many examples, analyses and
simulations indicate that chaotic oscillator detection system cannot
guarantee the immunity to noises (even white noise). In fact the
randomness of noises has a serious or even a destructive effect on
the detection results in many cases. To solve this problem, we
present a new detecting method based on wavelet threshold processing
that can detect the chaotic weak signal accompanied with noise. All
theoretical analyses and simulation experiments indicate that the
new method reduces the noise interferences to detection
significantly, thereby making the corresponding chaotic oscillator
that detects the weak signals accompanied with noises more stable
and reliable. |
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| Keywords: | chaotic detection periodic short-impulse signals wavelet
threshold |
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