Distortion in the inverse synthetic aperture radar (ISAR) images of a target with time-varying perturbed motion

Wong, S.K.; Duff, G.; Riseborough, E.

doi:10.1049/ip-rsn:20030638

Cited by 27 publications

(20 citation statements)

References 3 publications

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“…Inverse synthetic aperture radar (ISAR) has been widely employed to obtain the high-resolution image of the target for coastal surveillance and target recognition [1][2][3]. In recent decades, many imaging approaches such as range-instantaneous-Doppler algorithm [4][5][6], time-frequency processing method [7][8][9], and compressive sensing algorithm [10][11][12] were proposed. For all these advanced imaging algorithms, the image quality heavily relies on the correctness of recorded data.…”

Section: Introductionmentioning

confidence: 99%

Tracking of Range and Azimuth for Continuous Imaging of Marine Target in Monopulse ISAR with Wideband Echoes

Xie

Zhou

et al. 2016

International Journal of Antennas and Propagation

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Real-time tracking of maneuvering targets is the prerequisite for continuous imaging of moving targets in inverse synthetic aperture radar (ISAR). In this paper, the range and azimuth tracking (RAT) method with wideband radar echoes is first presented for a mechanical scanning monopulse ISAR, which is regarded as the simplest phased array unit due to the two antenna feeds. To relieve the estimation fluctuation and poor robustness of the RAT method with a single snapshot, a modified range and azimuth tracking approach based on centroid algorithm (RATCA) with forgotten factor and multiple echoes is then proposed. The performances of different forgotten factors are investigated. Both theoretical analysis and experimental results demonstrate that RATCA is superior to RAT method. Particularly, when target echo is missing occasionally, RAT method fails while RATCA still keeps good performance. The potential of continuous imaging with shipborne ISAR is verified by experimental results. With minor modification, the method proposed in this paper can be potentially applied in the phased array radar.

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Section: Introductionmentioning

confidence: 99%

Tracking of Range and Azimuth for Continuous Imaging of Marine Target in Monopulse ISAR with Wideband Echoes

Xie

Zhou

et al. 2016

International Journal of Antennas and Propagation

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“…Then, the range-instantaneousDoppler (RID) algorithm was proposed [9][10][11]. The RID algorithm can be divided into two aspects: one is the parametric method, and the other is the time-frequency representation method.…”

Section: Introductionmentioning

confidence: 99%

New method of time-frequency representation for ISAR imaging of ship targets

Wang

2012

J. of Syst. Eng. Electron.

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Inverse synthetic aperture radar (ISAR) imaging of ship targets is very important in the national defense. For the high maneuverability of ship targets, the Doppler frequency shift of the received signal is time-varying, which will degrade the ISAR image quality for the traditional range-Doppler (RD) algorithm. In this paper, the received signal in a range bin is characterized as the multi-component polynomial phase signal (PPS) after the motion compensation, and a new approach of time-frequency representation, generalized polynomial Wigner-Ville distribution (GPWVD), is proposed for the azimuth focusing. The GPWVD is based on the exponential matched-phase (EMP) principle. Compared with the conventional polynomial Wigner-Ville distribution (PWVD), the EMP principle transfers the non-integer lag coefficients of the PWVD to the position of the exponential of the signal, and the interpolation can be avoided completely. For the GPWVD, the cross-terms between multi-component signals can be reduced by decomposing the GPWVD into the convolution of Wigner-Ville distribution (WVD) and the spectrum of phase adjust functions. The GPWVD is used in the ISAR imaging of ship targets, and the high quality instantaneous ISAR images can be obtained. Simulation results and measurement data demonstrate the effectiveness of the proposed new method.

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“…TFRIF can obtain a series of images with different frequencies and aspect angles with no sacrifice of spatial resolutions. Time-frequency analysis has been applied to the various fields of radar imaging, but most papers concern about ISAR image distortion and its correction [3,4] , which have not discussed the problem of frequency and aspect angle-dependent reflectivity pattern information extraction in SAR applications. We give a thorough analysis on TFRIF from mathematical and physical viewpoints to understand its role in the following targets detection and recognition processing.…”

Section: Introductionmentioning

confidence: 99%

Target feature extraction using time-frequency representation in synthetic aperture radar

et al. 2005

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Synthetic aperture radar (SAR) can produce high-resolution images if illuminated terrain by coherently processing the data collected by a single antenna at different locations. In SAR imaging, Scatterers often perform the frequency and aspect angle dependent reflectivity characteristic, which is usually neglected in the traditional imaging processing. The target detection and recognition process requires additional processing to form enhanced SAR images, in which features of man-made objects are easier to identify. In this paper, a novel time-frequency representation imaging formation (TFRIF) is used to extract the frequency and aspect-dependent information without loss of azimuth resolution, which gives additional features in the following targets detection and recognition processing. Simulation results validate the efficiency of the TFR method.

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Distortion in the inverse synthetic aperture radar (ISAR) images of a target with time-varying perturbed motion

Cited by 27 publications

References 3 publications

Tracking of Range and Azimuth for Continuous Imaging of Marine Target in Monopulse ISAR with Wideband Echoes

Tracking of Range and Azimuth for Continuous Imaging of Marine Target in Monopulse ISAR with Wideband Echoes

New method of time-frequency representation for ISAR imaging of ship targets

Target feature extraction using time-frequency representation in synthetic aperture radar

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