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A Time-Fractional Fourier Joint Representation-Based Parameter Estimation Method for Chirp/Frequency Hopping Spread Spectrum Signal

Wei Zhang, Ran Tao

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Abstract

This study proposes a parameter estimation technique based on the short-time fractional Fourier transform (STFRFT) for Chirp /Frequency Hopping (Chirp/FH) spread spectrum signal. It is able to detect and estimate parameters for Chirp/FH signal at low signal-to-noise ratio (SNR). At the end, a comparison between the new method and short-time Fourier transform-based method is provided to illustrate the advantages.

About this research paper

What this paper is about

This study proposes a parameter estimation technique based on the short-time fractional Fourier transform (STFRFT) for Chirp /Frequency Hopping (Chirp/FH) spread spectrum signal. It is able to detect and estimate parameters for Chirp/FH signal at low signal-to-noise ratio (SNR). At the end, a comparison between the new method and short-time Fourier transform-based method is provided to illustrate the advantages.

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Available abstract

This study proposes a parameter estimation technique based on the short-time fractional Fourier transform (STFRFT) for Chirp /Frequency Hopping (Chirp/FH) spread spectrum signal. It is able to detect and estimate parameters for Chirp/FH signal at low signal-to-noise ratio (SNR). At the end, a comparison between the new method and short-time Fourier transform-based method is provided to illustrate the advantages.

Key concepts: Chirp, Chirp spread spectrum, Fractional Fourier transform, Frequency-hopping spread spectrum, Fourier transform, SIGNAL (programming language), Spread spectrum, Time–frequency analysis

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