Integrated cubic phase function for linear FM signal analysis

Pu Wang; Hongbin Li; Igor Djurović; Braham Himed

doi:10.1109/TAES.2010.5545167

Integrated cubic phase function for linear FM signal analysis

Pu Wang, Hongbin Li, Igor Djurović, Braham Himed

Research output: Contribution to journal › Article › peer-review

155 Scopus citations

Abstract

In this paper, an integrated cubic phase function (ICPF) is introduced for the estimation and detection of linear frequency-modulated (LFM) signals. The ICPF extends the standard cubic phase function (CPF) to handle cases involving low signal-to-noise ratio (SNR) and multi-component LFM signals. The asymptotic mean squared error (MSE) of an ICPF-based estimator as well as the output SNR of an ICPF-based detector are derived in closed form and verified by computer simulation. Comparison with several existing approaches is also included, which shows that the ICPF serves as a good candidate for LFM signal analysis.

Original language	English
Article number	5545167
Pages (from-to)	963-977
Number of pages	15
Journal	IEEE Transactions on Aerospace and Electronic Systems
Volume	46
Issue number	3
DOIs	https://doi.org/10.1109/TAES.2010.5545167
State	Published - Jul 2010

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AU - Wang, Pu

AU - Li, Hongbin

AU - Djurović, Igor

AU - Himed, Braham

PY - 2010/7

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N2 - In this paper, an integrated cubic phase function (ICPF) is introduced for the estimation and detection of linear frequency-modulated (LFM) signals. The ICPF extends the standard cubic phase function (CPF) to handle cases involving low signal-to-noise ratio (SNR) and multi-component LFM signals. The asymptotic mean squared error (MSE) of an ICPF-based estimator as well as the output SNR of an ICPF-based detector are derived in closed form and verified by computer simulation. Comparison with several existing approaches is also included, which shows that the ICPF serves as a good candidate for LFM signal analysis.

AB - In this paper, an integrated cubic phase function (ICPF) is introduced for the estimation and detection of linear frequency-modulated (LFM) signals. The ICPF extends the standard cubic phase function (CPF) to handle cases involving low signal-to-noise ratio (SNR) and multi-component LFM signals. The asymptotic mean squared error (MSE) of an ICPF-based estimator as well as the output SNR of an ICPF-based detector are derived in closed form and verified by computer simulation. Comparison with several existing approaches is also included, which shows that the ICPF serves as a good candidate for LFM signal analysis.

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Integrated cubic phase function for linear FM signal analysis

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