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

Fan, Linlin; Shi, Si; Liu, Yang; Xu, Shi You; Chen, Zeng Ping

doi:10.2528/pierc14122501

Cited by 8 publications

(4 citation statements)

References 20 publications

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“…Complicated movements of a target involve nonuniform rotational motions. Therefore, well-focused ISAR images usually require rotational motion compensation (RMC) [100][101][102][103][104][105][106][107][108]. Over the past few years, extensive RMC methods have been proposed.…”

Section: Isar Imaging Technologymentioning

confidence: 99%

“…Over the past few years, extensive RMC methods have been proposed. ISAR imaging of maneuvering targets is handled by different time-frequency analysis methods [100][101][102][103], such as adaptive Doppler spectrum extraction [100], fractional Fourier transform [101], and modified Wigner-Ville transform [102]. In RMC, images can be focused without constructing a parametric rotational motion model and estimating its parameters.…”

Section: Isar Imaging Technologymentioning

confidence: 99%

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Advanced technology of high-resolution radar: target detection, tracking, imaging, and recognition

Liang

Liu

2019

Sci. China Inf. Sci.

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In recent years, the performances of radar resolution, coverage, and detection accuracy have been significantly improved through the use of ultra-wideband, synthetic aperture and digital signal processing technologies. High-resolution radars (HRRs) utilize wideband signals and synthetic apertures to enhance the range and angular resolutions of tracking, respectively. They also generate one-, two-, and even threedimensional high-resolution images containing the feature information of targets, from which the targets can be precisely classified and identified. Advanced signal processing algorithms in HRRs obtain important information such as range-Doppler imaging, phase-derived ranging, and micro-motion features. However, the advantages and applications of HRRs are restricted by factors such as the reduced signal-to-noise ratio (SNR) of multi-scatter point targets, decreased tracking accuracy of multi-scatter point targets, high demands of motion compensation, and low sensitivity of the target attitude. Focusing on these problems, this paper systematically introduces the novel technologies of HRRs and discusses the issues and solutions relevant to detection, tracking, imaging, and recognition. Finally, it reviews the latest progress and representative results of HRR-based research, and suggests the future development of HRRs.

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Section: Isar Imaging Technologymentioning

confidence: 99%

Section: Isar Imaging Technologymentioning

confidence: 99%

Advanced technology of high-resolution radar: target detection, tracking, imaging, and recognition

Liang

Liu

2019

Sci. China Inf. Sci.

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“…Unfortunately, when the platform carries more devices, it will increase the load on the ISAR system, which is not conducive to the extension of the platform’s service life. The traditional Range-Doppler algorithm [9,10] is usually adopted to produce a 2D ISAR image for slow moving targets in the case of a stationary radar platform. Moreover, as a common method, estimating the motion parameters of the maneuvering target based on the ISAR echo data has some advantages.…”

Section: Introductionmentioning

confidence: 99%

Non-Stationary Platform Inverse Synthetic Aperture Radar Maneuvering Target Imaging Based on Phase Retrieval

Shi

Xia

Qin

et al. 2018

Sensors

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As a powerful signal processing tool for imaging moving targets, placing radar on a non-stationary platform (such as an aerostat) is a future direction of Inverse Synthetic Aperture Radar (ISAR) systems. However, more phase errors are introduced into the received signal due to the instability of the radar platform, making it difficult for popular algorithms to accurately perform motion compensation, which leads to severe effects in the resultant ISAR images. Moreover, maneuvering targets may have complex motion whose motion parameters are unknown to radar systems. To overcome the issue of non-stationary platform ISAR autofocus imaging, a high-resolution imaging method based on the phase retrieval principle is proposed in this paper. Firstly, based on the spatial geometric and echo models of the ISAR maneuvering target, we can deduce that the radial motion of the radar platform or the vibration does not affect the modulus of the ISAR echo signal, which provides a theoretical basis for the phase recovery theory for the ISAR imaging. Then, we propose an oversampling smoothness (OSS) phase retrieval algorithm with prior information, namely, the phase of the blurred image obtained by the classical imaging algorithm replaces the initial random phase in the original OSS algorithm. In addition, the size of the support domain of the OSS algorithm is set with respect to the blurred target image. Experimental simulation shows that compared with classical imaging methods, the proposed method can obtain the resultant motion-compensated ISAR image without estimating the radar platform and maneuvering target motion parameters, wherein the fictitious target is perfectly focused.

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“…However, the target is moving and the radar platform is stationary for ISAR system. The tradi- tional ISAR algorithm [9] is suitable for slow moving targets imaging, but it will not be suitable for the target with complex motion, such as high-speed motion, maneuver and rotation, which needs to carry on the motion compensation to the complex movement. The target of complex motion should be motion compensated.…”

Section: Introductionmentioning

confidence: 99%

ISAR imaging based on improved phase retrieval algorithm

Shi

Xia

Tian

2018

JSEE

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Traditional inverse synthetic aperture radar (ISAR) imaging methods for maneuvering targets have low resolution and poor capability of noise suppression. An ISAR imaging method of maneuvering targets based on phase retrieval is proposed, which can provide a high-resolution and focused map of the spatial distribution of scatterers on the target. According to theoretical derivation, the modulus of raw data from the maneuvering target is not affected by radial motion components for ISAR imaging system, so the phase retrieval algorithm can be used for ISAR imaging problems. However, the traditional phase retrieval algorithm will be not applicable to ISAR imaging under the condition of random noise. To solve this problem, an algorithm is put forward based on the range Doppler (RD) algorithm and oversampling smoothness (OSS) phase retrieval algorithm. The algorithm captures the target information in order to reduce the influence of the random phase on ISAR echoes, and then applies OSS for focusing imaging based on prior information of the RD algorithm. The simulated results demonstrate the validity of this algorithm, which cannot only obtain high resolution imaging for high speed maneuvering targets under the condition of random noise, but also substantially improve the success rate of the phase retrieval algorithm.

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

Cited by 8 publications

References 20 publications

Advanced technology of high-resolution radar: target detection, tracking, imaging, and recognition

Advanced technology of high-resolution radar: target detection, tracking, imaging, and recognition

Non-Stationary Platform Inverse Synthetic Aperture Radar Maneuvering Target Imaging Based on Phase Retrieval

ISAR imaging based on improved phase retrieval algorithm

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