2011Unpublished venueRequires access

A novel parameter estimation method of chirp signal based on Fractional Fourier Transform

Rong Chen, Yiming Wang

Open publisher page 6 citations

Abstract

Currently, the realization of parameter estimation of chirp signal using Fractional Fourier Transform (FRFT) is based on the assumption that the sampling duration of the practical observed signal is equal to the time duration of the chirp signal which is contained in the former. Actually, this assumption is not reasonable and there is limitation in application of the existing parameter estimation method. On the basis of analyzing the practical signal form, this paper derives the estimation error of the existing parameter estimation method and then proposes a novel and general parameter estimation method. Simulation results verify that the new method is effective.

About this research paper

What this paper is about

Currently, the realization of parameter estimation of chirp signal using Fractional Fourier Transform (FRFT) is based on the assumption that the sampling duration of the practical observed signal is equal to the time duration of the chirp signal which is contained in the former. Actually, this assumption is not reasonable and there is limitation in application of the existing parameter estimation method. On the basis of analyzing the practical signal form, this paper derives the estimation error of the existing parameter estimation method and then proposes a novel and general parameter estimation method. Simulation results verify that the new method is effective.

Why it matters

OpenAlex reports 6 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Currently, the realization of parameter estimation of chirp signal using Fractional Fourier Transform (FRFT) is based on the assumption that the sampling duration of the practical observed signal is equal to the time duration of the chirp signal which is contained in the former. Actually, this assumption is not reasonable and there is limitation in application of the existing parameter estimation method. On the basis of analyzing the practical signal form, this paper derives the estimation error of the existing parameter estimation method and then proposes a novel and general parameter estimation method. Simulation results verify that the new method is effective.

Key concepts: Chirp, Fractional Fourier transform, SIGNAL (programming language), Estimation theory, Fourier transform, Realization (probability), Computer science, Algorithm

Related papers

Back to paper searchBrowse research topicsOriginal source
A novel parameter estimation method of chirp signal based on Fractional Fourier Transform — Research Paper | ScholarLens