2008Unpublished venueRequires access

Resolution Ability of Fractional Fourier Transform in Multi-Component LFM Signal Chirp-Rate

Feng Liu, Yu Huang, Ran Tao, Yue Wang

Open publisher page 3 citations

Abstract

Detecting and estimating multi-component LFM signal based on fractional Fourier transform (FrFT) becomes a hot field in recent years. In most situations, it will come across multi-component LFM signal with similarly parameters in signal processing. This means illegibility occurs in time-frequency analysis and there is a problem about resolution ability. During to this problem, when multi-component LFM signal has only one center frequency, the expression of resolution ability in chirp-rate based on FrFT is deduced. What's more, the influence of the sampling time, sampling frequency and chirp-rate upon the resolution ability is analyzed and simulated. Finally, simulation results and analysis indicate that the resolution ability is mainly dependent on the biggest value of chirp-rate, and has the positive exponential relationship about with chirp-rate.

About this research paper

What this paper is about

Detecting and estimating multi-component LFM signal based on fractional Fourier transform (FrFT) becomes a hot field in recent years. In most situations, it will come across multi-component LFM signal with similarly parameters in signal processing. This means illegibility occurs in time-frequency analysis and there is a problem about resolution ability. During to this problem, when multi-component LFM signal has only one center frequency, the expression of resolution ability in chirp-rate based on FrFT is deduced. What's more, the influence of the sampling time, sampling frequency and chirp-rate upon the resolution ability is analyzed and simulated. Finally, simulation results and analysis indicate that the resolution ability is mainly dependent on the biggest value of chirp-rate, and has the positive exponential relationship about with chirp-rate.

Why it matters

OpenAlex reports 3 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

Detecting and estimating multi-component LFM signal based on fractional Fourier transform (FrFT) becomes a hot field in recent years. In most situations, it will come across multi-component LFM signal with similarly parameters in signal processing. This means illegibility occurs in time-frequency analysis and there is a problem about resolution ability. During to this problem, when multi-component LFM signal has only one center frequency, the expression of resolution ability in chirp-rate based on FrFT is deduced. What's more, the influence of the sampling time, sampling frequency and chirp-rate upon the resolution ability is analyzed and simulated. Finally, simulation results and analysis indicate that the resolution ability is mainly dependent on the biggest value of chirp-rate, and has the positive exponential relationship about with chirp-rate.

Key concepts: Chirp, Fractional Fourier transform, SIGNAL (programming language), Fourier transform, Resolution (logic), Time–frequency analysis, Chirp spread spectrum, Component (thermodynamics)

Related papers

Back to paper searchBrowse research topicsOriginal source
Resolution Ability of Fractional Fourier Transform in Multi-Component LFM Signal Chirp-Rate — Research Paper | ScholarLens