Time–frequency imaging algorithm for high-speed spinning targets in two dimensions

Li, Jie; Qiu, Cheng‐Wei; Zhang, L.; Xing, Mengdao; Bao, Zhang; Yeo, Tat‐Soon

doi:10.1049/iet-rsn.2009.0172

Cited by 20 publications

(15 citation statements)

References 8 publications

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“…What is more, two-dimensional (2D), and even three-dimensional (3D), images may also be obtained based on the narrowband signal processing methods [9,10,11,12]. However, all these methods are based on the assumption that the target’s rotating velocity (RV) is a known parameter, which is usually invalid for a non-cooperative object.…”

Section: Introductionmentioning

confidence: 99%

Non-Cooperative Target Imaging and Parameter Estimation with Narrowband Radar Echoes

Yeh¹,

Zhou

Lu³

et al. 2016

Sensors

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This study focuses on the rotating target imaging and parameter estimation with narrowband radar echoes, which is essential for radar target recognition. First, a two-dimensional (2D) imaging model with narrowband echoes is established in this paper, and two images of the target are formed on the velocity-acceleration plane at two neighboring coherent processing intervals (CPIs). Then, the rotating velocity (RV) is proposed to be estimated by utilizing the relationship between the positions of the scattering centers among two images. Finally, the target image is rescaled to the range-cross-range plane with the estimated rotational parameter. The validity of the proposed approach is confirmed using numerical simulations.

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Section: Introductionmentioning

confidence: 99%

Non-Cooperative Target Imaging and Parameter Estimation with Narrowband Radar Echoes

Yeh¹,

Zhou

Lu³

et al. 2016

Sensors

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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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“…The major difference between RD and RID methods is that time-frequency (TF) analysis is used in RID imaging while Fourier transform (FT) is used in RD imaging. The instantaneous ISAR image of the target can be obtained by taking the slices in the slow-time domain [7][8][9][10][11][12][13]. In general, the traditional RID methods take the same time slice for all range bins.…”

Section: Introductionmentioning

confidence: 99%

A Novel Range-Instantaneous-Doppler Isar Imaging Algorithm for Maneuvering Targets via Adaptive Doppler Spectrum Extraction

Fan¹,

Shi²,

Liu³

et al. 2015

PIER C

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Abstract-A novel range-instantaneous-Doppler (RID) algorithm of inverse synthetic aperture radar (ISAR) imaging based on adaptive Doppler spectrum extraction is proposed in this paper. Regarding maneuvering targets, such as military aircraft, the ISAR image is blurred on cross-range domain when the range-Doppler (RD) algorithm is applied. The RID imaging method is often used to resolve the Doppler ambiguity but there are some scattering points that could be lost because the sliced time is fixed in traditional RID imaging. To the method proposed in this paper, the optimal Doppler spectrum of each range bin is extracted by gradient energy function (GEF) after time-frequency (TF) analysis and then all of the optimal Doppler spectrums are combined to obtain a final 2-D RID image of the target. Compared with the traditional RID method, the novel algorithm can obtain image with better focused quality. The results obtained from simulated and field-measured data verify the superiority of the proposed algorithm.

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Time–frequency imaging algorithm for high-speed spinning targets in two dimensions

Cited by 20 publications

References 8 publications

Non-Cooperative Target Imaging and Parameter Estimation with Narrowband Radar Echoes

Non-Cooperative Target Imaging and Parameter Estimation with Narrowband Radar Echoes

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

A Novel Range-Instantaneous-Doppler Isar Imaging Algorithm for Maneuvering Targets via Adaptive Doppler Spectrum Extraction

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