Research on linear frequency modulation detection technology based on fractional fourier transform

Author:

Tao HuatingORCID,Yang Jie,Tao Jin

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Information Systems

Reference13 articles.

1. Zhou, Y., Shen, B., Ling, L., Xia, J., Yang, T., Lu, Q., Zhou, Y., & Liu, Y. (2020). Research on tunnel wireless communication technology. In International conference on wireless communications and smart grid (ICWCSG).

2. Ma, Y., Wang, R., & Du, J. (2013). Amplitude characteristics of linear frequency modulation signal in FRFT domain[C]. In IEEE international conference on signal and image processing applications, (pp. 431–434).

3. Jacob, R., Thomas, T., & Unnikrishnan, A. (2009). Fractional fourier transform based chirp detector versus someconventional detectors. In International symposium on ocean electronics (SYMPOL 2009), (pp. 56–65).

4. Min, M., Jingye, C., & Xihui, Z. (2010). An estimation algorithm of chirp based on fractional fouriertransform and frequency domain differential. In International Conference on computational problem-solving. (pp. 218–221).

5. Ren, H., Hu, X., Xu, F., Jun, X., Qing, W., Zhan, C., & Chen, Y. (2014). SNR estimation algorithm of LFM signal based on FrFT for long range and shallow underwater acoustic communication systems, OCEANS 2014-TAIPEI, (pp. 1–6).

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1. A novel optimized fractional order system for tuning biological parameters;International Journal of Numerical Modelling: Electronic Networks, Devices and Fields;2024-03

2. A fractional Fourier transform stepwise simplification algorithm for wireless signal detection;International Journal of Information Technology;2023-12-25

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