ScholarLens Back to search
2008•Radar Science and TechnologyRequires access

Performance Analysis on Three Methods for Chirp Signal Detection

Xiaomin Mu

Open publisher page 1 citations

Abstract

The chirp signal has been used widely in radar signals.The detection performances of three algorithms based on Radon-Wigner Transform(RWT),Fractional Fourier Transform(FRFT) and Modified Chirp-Fourier Transform(MDCFT) are analysed,and the energy concentration peaks on chirp signal of these three methods are computed.The final simulation results show that the three methods have remarkable capabilities of detecting chirp signal with length of 256 points and signal to noise rate of-5dB.In contrast,RWT is the best.

About this research paper

What this paper is about

The chirp signal has been used widely in radar signals.The detection performances of three algorithms based on Radon-Wigner Transform(RWT),Fractional Fourier Transform(FRFT) and Modified Chirp-Fourier Transform(MDCFT) are analysed,and the energy concentration peaks on chirp signal of these three methods are computed.The final simulation results show that the three methods have remarkable capabilities of detecting chirp signal with length of 256 points and signal to noise rate of-5dB.In contrast,RWT is the best.

Why it matters

OpenAlex reports 1 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

The chirp signal has been used widely in radar signals.The detection performances of three algorithms based on Radon-Wigner Transform(RWT),Fractional Fourier Transform(FRFT) and Modified Chirp-Fourier Transform(MDCFT) are analysed,and the energy concentration peaks on chirp signal of these three methods are computed.The final simulation results show that the three methods have remarkable capabilities of detecting chirp signal with length of 256 points and signal to noise rate of-5dB.In contrast,RWT is the best.

Key concepts: Chirp, Fractional Fourier transform, Chirp spread spectrum, Fourier transform, SIGNAL (programming language), Energy (signal processing), Computer science, Algorithm

Related papers

Related paper 1Related paper 2Related paper 3
Back to paper searchBrowse research topicsOriginal source
Performance Analysis on Three Methods for Chirp Signal Detection — Research Paper | ScholarLens