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Parameter Estimation of Multiple Satellite Signals Based on Cyclic Spectrum

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Wireless and Satellite Systems (WiSATS 2019)

Abstract

The cyclic spectral density function is a linear transformation that satisfies the principle of linear superposition. Based on this property, a new method for parameter estimation of multiple satellite signals is proposed. Firstly, the linear superposition characteristics of the cyclic spectrum are introduced. On the basis of this, the spectral characteristics of the mixed satellite signals are analyzed. According to the corresponding relationship between the cyclic spectrum line of multi-signals and the signal parameters. Finally, the parameter estimation of mixed signals is achieved indirectly through the method of detecting the line in specific cyclic frequency section of cyclic spectrum. The simulation results show that the new method has good performance under Gaussian noise.

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Correspondence to Yu Du .

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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Du, Y., Zheng, J., Jiao, X. (2019). Parameter Estimation of Multiple Satellite Signals Based on Cyclic Spectrum. In: Jia, M., Guo, Q., Meng, W. (eds) Wireless and Satellite Systems. WiSATS 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 280. Springer, Cham. https://doi.org/10.1007/978-3-030-19153-5_52

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  • DOI: https://doi.org/10.1007/978-3-030-19153-5_52

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-19152-8

  • Online ISBN: 978-3-030-19153-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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