Abstract
With the development of electronic techniques and filter theories, nonlinear filters appear and obtain the performance beyond the traditional linear filter in a certain extent, this paper takes the chaotic nonlinear filter design as the main research object, by constructing Duffing Chaos vibrator Euler implementation and improving its structure, a new direct chaotic nonlinear filter is proposed, different from the past nonlinear signal processing method, the output results of the filter can effectively filter the noise inside and outside the band, without judging chaos phase change, the original period signal can be directly obtained, experiments show that, this method can effectively recover the input signal to noise ratio under −30 dB, which is a reliable nonlinear filtering technique, and further more, its adaptability can be improved.
Project supported by three National Natural Science Foundations of China (No. 41606117, No. 41476089, No. 61671016).
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Zhang, Y., Zhang, G., Rui, Gs., Zhang, Hb. (2019). Improved Direct Chaotic Nonlinear Filters. In: Sun, F., Liu, H., Hu, D. (eds) Cognitive Systems and Signal Processing. ICCSIP 2018. Communications in Computer and Information Science, vol 1005. Springer, Singapore. https://doi.org/10.1007/978-981-13-7983-3_28
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DOI: https://doi.org/10.1007/978-981-13-7983-3_28
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