Parametric inverse synthetic aperture radar manoeuvring target motion compensation based on particle swarm optimiser

Peng, Shibao; Xu, Jia; Peng, Yingning; Xiang, J.-B

doi:10.1049/iet-rsn.2010.0175

Cited by 59 publications

(24 citation statements)

References 15 publications

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“…Only effective initialization can support the following fine estimation by deterministic optimization algorithms to get the global optimization. And we should also note, this dependence of initialization may be reduced by heuristic optimization algorithms, such as genetic algorithm [32] and particle swarm optimization [33] at a price of increased computational load.…”

Section: Coarse Motion Estimation For Initializationmentioning

confidence: 99%

Translational motion compensation for ISAR imaging under low SNR by minimum entropy

Zhang

Sheng

Duan

et al. 2013

EURASIP J. Adv. Signal Process.

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In general, conventional error correction for inverse synthetic aperture radarimaging consists of range alignment and phase adjustment, which compensate range shift and phase error, respectively. Minimum entropy-based methods have been proposed to realize range alignment and phase adjustment. However, it becomes challenging to align high-resolution profiles when strong noise presents, even using entropy minimization. Consequently, the subsequent phase adjustment fails to correct phase errors. In this article, we propose a novel method for translational motion correction, where entropy minimization is utilized to achieve range alignment and phase adjustment jointly. And, a coordinate descent algorithm is proposed to solve the optimization implemented by quasi-Newton algorithm. Moreover, a method for coarse motion estimation is also proposed for initialization in solving the optimization. Both simulated and real-measured datasets are used to confirm the effectiveness of the joint motion correction in low signal-to-noise ratio situations.

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Section: Coarse Motion Estimation For Initializationmentioning

confidence: 99%

Translational motion compensation for ISAR imaging under low SNR by minimum entropy

Zhang

Sheng

Duan

et al. 2013

EURASIP J. Adv. Signal Process.

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show abstract

“…However, the motions of the target often cause range migration (RM) and Doppler frequency migration (DFM) effects in the received signals, which will degrade the imaging quality. Therefore, the object's motion parameters should be estimated and compensated before imaging [5][6][7][8]. Besides, the accuracy of motion parameters estimation also affects the performance of target tracking and identification.…”

Section: Introductionmentioning

confidence: 99%

“…Besides, the accuracy of motion parameters estimation also affects the performance of target tracking and identification. Thus, high precision motion parameters estimation is necessary and attracts much more attention in modern wideband radar systems [1][2][3][4][5][6][7][8][9].…”

Section: Introductionmentioning

confidence: 99%

A Fast Motion Parameters Estimation Method Based on Cross-Correlation of Adjacent Echoes for Wideband LFM Radars

et al. 2017

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Abstract:In wideband radar systems, the performance of motion parameters estimation can significantly affect the performance of object detection and the quality of inverse synthetic aperture radar (ISAR) imaging. Although the traditional motion parameters estimation methods can reduce the range migration (RM) and Doppler frequency migration (DFM) effects in ISAR imaging, the computational complexity is high. In this paper, we propose a new fast non-parameter-searching method for motion parameters estimation based on the cross-correlation of adjacent echoes (CCAE) for wideband LFM signals. A cross-correlation operation is carried out for two adjacent echo signals, then the motion parameters can be calculated by estimating the frequency of the correlation result. The proposed CCAE method can be applied directly to the stretching system, which is commonly adopted in wideband radar systems. Simulation results demonstrate that the new method can achieve better estimation performances, with much lower computational cost, compared with existing methods. The experimental results on real radar datasets are also evaluated to verify the effectiveness and superiority of the proposed method compared to the state-of-the-art existing methods.

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Section: Introductionmentioning

confidence: 99%

A Fast Motion Parameters Estimation Method Based on Cross-Correlation of Adjacent Echoes for Wideband LFM Radars

Zhang¹,

Hong²,

Yang³

et al. 2017

Preprint

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Abstract:In wideband radar systems, the performance of motion parameters estimation can significantly affect the performance of object detection and the quality of inverse synthetic aperture radar (ISAR) imaging. Although the traditional motion parameters estimation methods can reduce the range migration (RM) and Doppler frequency migration (DFM) effects in ISAR imaging, the computational complexity is high. In this paper, we propose a new fast non-searching motion parameters estimation method based on cross-correlation of adjacent echoes (CCAE) for wideband LFM signals. A cross-correlation operation is carried out for two adjacent echo signals, then the motion parameters can be calculated by estimating the frequency of the correlation result. The proposed CCAE method can be applied directly to the stretching system, which is commonly adopted in wideband radar systems. Simulational results demonstrate that the new method can achieve better estimation performances, with much lower computational cost, compared with existing methods. The experimental results on real radar data sets are also evaluated to verify the effectiveness and superiority of the proposed method compared to the state-of-the-art existing methods.

show abstract

Parametric inverse synthetic aperture radar manoeuvring target motion compensation based on particle swarm optimiser

Cited by 59 publications

References 15 publications

Translational motion compensation for ISAR imaging under low SNR by minimum entropy

Translational motion compensation for ISAR imaging under low SNR by minimum entropy

A Fast Motion Parameters Estimation Method Based on Cross-Correlation of Adjacent Echoes for Wideband LFM Radars

A Fast Motion Parameters Estimation Method Based on Cross-Correlation of Adjacent Echoes for Wideband LFM Radars

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