Inverse synthetic aperture radar imaging of targets with complex motion based on the local polynomial ambiguity function

Abstract. In inverse synthetic aperture radar (ISAR) imaging of targets with complex motion, the azimuth echoes have to be modeled as multicomponent cubic phase signals (CPSs) after motion compensation. For the CPS model, the chirp rate and the quadratic chirp rate deteriorate the ISAR image quality due to the Doppler frequency shift; thus, an effective parameter estimation algorithm is required. This paper focuses on a parameter estimation algorithm for multicomponent CPSs based on the local polynomial ambiguity function (LPAF), which is simple and can be easily implemented via the complex multiplication and fast Fourier transform. Compared with the existing parameter estimation algorithm for CPS, the proposed algorithm can achieve a better compromise between performance and computational complexity. Then, the high-quality ISAR image can be obtained by the proposed LPAF-based ISAR imaging algorithm. The results of the simulated data demonstrate the effectiveness of the proposed algorithm.

[1]  Yong Wang,et al.  Inverse Synthetic Aperture Radar Imaging of Nonuniformly Rotating Target Based on the Parameters Estimation of Multicomponent Quadratic Frequency-Modulated Signals , 2015, IEEE Sensors Journal.

[2]  Mengdao Xing,et al.  Lv's Distribution: Principle, Implementation, Properties, and Performance , 2011, IEEE Transactions on Signal Processing.

[3]  Yong Wang,et al.  Inverse Synthetic Aperture Radar Imaging of Maneuvering Target Based on the Product Generalized Cubic Phase Function , 2011, IEEE Geoscience and Remote Sensing Letters.

[4]  Mengdao Xing,et al.  New ISAR imaging algorithm based on modified Wigner–Ville distribution , 2009 .

[5]  Mengdao Xing,et al.  ISAR Imaging of Maneuvering Targets Based on the Range Centroid Doppler Technique , 2010, IEEE Transactions on Image Processing.

[6]  Ran Tao,et al.  ISAR Imaging of a Ship Target Based on Parameter Estimation of Multicomponent Quadratic Frequency-Modulated Signals , 2014, IEEE Transactions on Geoscience and Remote Sensing.

[7]  Xiang Li,et al.  ISAR Imaging of Targets With Complex Motion Based on Discrete Chirp Fourier Transform for Cubic Chirps , 2012, IEEE Transactions on Geoscience and Remote Sensing.

[8]  John C. Wood,et al.  Radon transformation of time-frequency distributions for analysis of multicomponent signals , 1994, IEEE Trans. Signal Process..

[9]  P. O'Shea A new technique for instantaneous frequency rate estimation , 2002, IEEE Signal Processing Letters.

[10]  Marco Diani,et al.  High-resolution ISAR imaging of maneuvering targets by means of the range instantaneous Doppler technique: modeling and performance analysis , 2001, IEEE Trans. Image Process..

[11]  B. Porat,et al.  Linear FM signal parameter estimation from discrete-time observations , 1991 .

[12]  Su Tao,et al.  Inverse synthetic aperture radar imaging of targets with nonsevere maneuverability based on the centroid frequency chirp rate distribution , 2015 .

[13]  Mengdao Xing,et al.  High resolution ISAR imaging of high speed moving targets , 2005 .

[14]  Qing Huo Liu,et al.  ISAR Imaging of Nonuniformly Rotating Target Based on a Fast Parameter Estimation Algorithm of Cubic Phase Signal , 2015, IEEE Transactions on Geoscience and Remote Sensing.

[15]  Z. Bao,et al.  A New Algorithm of ISAR Imaging for Maneuvering Targets with Low SNR , 2013, IEEE Transactions on Aerospace and Electronic Systems.

[16]  Mengdao Xing,et al.  Inverse synthetic aperture radar imaging of ship target with complex motion , 2008 .

[17]  Ljubisa Stankovic,et al.  Local polynomial Wigner distribution , 1997, Signal Process..

[18]  I. Djurovic,et al.  Integrated Cubic Phase Function for Linear FM Signal Analysis , 2010, IEEE Transactions on Aerospace and Electronic Systems.

[19]  Charles V. Jakowatz,et al.  Phase gradient autofocus-a robust tool for high resolution SAR phase correction , 1994 .

[20]  Boaz Porat,et al.  The Cramer-Rao lower bound for signals with constant amplitude and polynomial phase , 1991, IEEE Trans. Signal Process..

[21]  Yu Wang Inverse synthetic aperture radar imaging of manoeuvring target based on range-instantaneous- doppler and range-instantaneous-chirp-rate algorithms , 2012 .

[22]  Yong Wang,et al.  ISAR Imaging of Maneuvering Target Based on the Local Polynomial Wigner Distribution and Integrated High-Order Ambiguity Function for Cubic Phase Signal Model , 2014, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[23]  Peter O'Shea,et al.  A fast algorithm for estimating the parameters of a quadratic FM signal , 2004, IEEE Transactions on Signal Processing.

[24]  R. Tao,et al.  Analysing and compensating the effects of range and Doppler frequency migrations in linear frequency modulation pulse compression radar , 2011 .

[25]  Qing Huo Liu,et al.  ISAR Imaging of Targets With Complex Motions Based on the Keystone Time-Chirp Rate Distribution , 2014, IEEE Geoscience and Remote Sensing Letters.

[26]  Yong Wang,et al.  ISAR Imaging of a Ship Target Using Product High-Order Matched-Phase Transform , 2009, IEEE Geoscience and Remote Sensing Letters.

[27]  Xin Guo,et al.  Comments on discrete chirp-Fourier transform and its application to chirp rate estimation [and reply] , 2002, IEEE Trans. Signal Process..

[28]  Anna Scaglione,et al.  Product high-order ambiguity function for multicomponent polynomial-phase signal modeling , 1998, IEEE Trans. Signal Process..

[29]  Xiang-Gen Xia,et al.  Discrete chirp-Fourier transform and its application to chirp rate estimation , 2000, IEEE Trans. Signal Process..

[30]  Qing Huo Liu,et al.  ISAR Imaging of Targets With Complex Motion Based on the Chirp Rate–Quadratic Chirp Rate Distribution , 2014, IEEE Transactions on Geoscience and Remote Sensing.

[31]  Bin Zhao,et al.  Asymptotic Statistical Performance of Local Polynomial Wigner Distribution for the Parameters Estimation of Cubic-Phase Signal With Application in ISAR Imaging of Ship Target , 2015, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.