Performance Analysis on Three Methods for Chirp Signal Parameters Estimation Based on FRFT

Yan Jun Wu; Gang Fu; Peng Yu

doi:10.4028/www.scientific.net/AMR.989-994.3942

Paper Titles

Study of Reentry Telemetry Signal in the Environment of Soft Demodulation
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An Adaptive Filtering Method for Chirp Signal Based on FRFT
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Research on FM Telemetry Software Demodulation Algorithms
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Performance Analysis on Three Methods for Chirp Signal Parameters Estimation Based on FRFT
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Group Sparsity Regularization Based Compressed Sensing MR Image Reconstruction
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Pulse Coding Soft FM Telemetry Signal Demodulation
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Design of High-Speed Data Collector of Blast Wave Signal Based on the Post-Trigger Principle
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On Matlab’s Simulations in Underground Mobile Multipath Channel
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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 989-994Performance Analysis on Three Methods for Chirp...

Performance Analysis on Three Methods for Chirp Signal Parameters Estimation Based on FRFT

Abstract:

Chirp signal has been used widely in radar signals, and the Fractional Fourier transform is one of the most effective tools to analyze Chirp signal. In this paper, the concept of FRFT and the estimation theory of Chirp signal are introduced firstly. Then, we study three Chirp signal detection algorithms based on character of Chirp signal energy concentrated in a certain FRFT domain. Finally, in order to test the estimation abilities of the frequency modulation rate and the central frequency of FRFT to Chirp signal, and compare the operation time of parameters estimation under different SNR of the three algorithms, we simulate performance of the Three methods, and the final simulation results show that the three method have remarkable capabilities of detecting Chirp signal with low SNR. In contrast, the two-searching method doesn’t need planar search, consumedly reducing the computation cost at the same precision.

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Periodical:

Advanced Materials Research (Volumes 989-994)

Pages:

3942-3945

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.989-994.3942

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Online since:

July 2014

Authors:

Yan Jun Wu*, Gang Fu, Peng Yu

Keywords:

Chirp Signal, Fractional Fourier Transform (FrFT), Parameter Estimation, Peak Searching

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