Next Article in Journal
A Review of Polyglot Persistence in the Big Data World
Previous Article in Journal
Learning Subword Embedding to Improve Uyghur Named-Entity Recognition
Open AccessArticle

Quadratic Frequency Modulation Signals Parameter Estimation Based on Product High Order Ambiguity Function-Modified Integrated Cubic Phase Function

by Lei Zhu
Jiangsu Automation Research Institute, Lianyungang 222006, China
Information 2019, 10(4), 140; https://doi.org/10.3390/info10040140
Received: 20 February 2019 / Revised: 9 April 2019 / Accepted: 12 April 2019 / Published: 16 April 2019
In inverse synthetic aperture radar (ISAR) imaging system for targets with complex motion, such as ships fluctuating with oceanic waves and high maneuvering airplanes, the multi-component quadratic frequency modulation (QFM) signals are more suitable model for azimuth echo signals. The quadratic chirp rate (QCR) and chirp rate (CR) cause the ISAR imaging defocus. Thus, it is important to estimate QCR and CR of multi-component QFM signals in ISAR imaging system. The conventional QFM signal parameter estimation algorithms suffer from the cross-term problem. To solve this problem, this paper proposes the product high order ambiguity function-modified integrated cubic phase function (PHAF-MICPF). The PHAF-MICPF employs phase differentiation operation with multi-scale factors and modified coherently integrated cubic phase function (MICPF) to transform the multi-component QFM signals into the time-quadratic chirp rate (T-QCR) domains. The cross-term suppression ability of the PHAF-MICPF is improved by multiplying different T-QCR domains that are related to different scale factors. Besides, the multiplication operation can improve the anti-noise performance and solve the identifiability problem. Compared with high order ambiguity function-integrated cubic phase function (HAF-ICPF), the simulation results verify that the PHAF-MICPF acquires better cross-term suppression ability, better anti-noise performance and solves the identifiability problem. View Full-Text
Keywords: quadratic frequency modulation (QFM) signal; parameter estimation; phase differentiation; modified integrated cubic phase function (MICPF); multi-scale factors quadratic frequency modulation (QFM) signal; parameter estimation; phase differentiation; modified integrated cubic phase function (MICPF); multi-scale factors
Show Figures

Figure 1

MDPI and ACS Style

Zhu, L. Quadratic Frequency Modulation Signals Parameter Estimation Based on Product High Order Ambiguity Function-Modified Integrated Cubic Phase Function. Information 2019, 10, 140.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop