An effective ISAR autofocus algorithm based on single eigenvector

Cai, Jun; Xu, Jia; Wang, Guan; Xia, Xiang-Gen; Li, Teng; Bian, Mingming

doi:10.1109/radar.2016.8059503

Cited by 8 publications

(16 citation statements)

References 10 publications

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“…In addition, the unwanted translational motion of the target must be removed by reliable translational motion compensation (TMC) [109][110][111][112][113][114][115][116]. TMC methods, which include Doppler centroid tracking (DCT) [109], phase gradient autofocus (PGA) [110,111], minimum entropy phase autofocus [112], and maximum contrast phase autofocus [112], estimate and compensate the phase error caused by translational motion.…”

Section: Isar Imaging Technologymentioning

confidence: 99%

“…However, selecting the prominent scatterers is a difficult task. Recently, subspace algorithms based on eigenvalue decomposition (EVD) have been proposed [113][114][115][116], which are robust and more effective for ISAR phase autofocus than PGA. More specifically, Cao et al [113] proposed a minimum-entropy ISAR autofocus algorithm (MESA), which optimizes the weights of the principle eigenvectors by an iterative optimization method, and then estimates the phase error in the translational motion.…”

Section: Isar Imaging Technologymentioning

confidence: 99%

“…After constructing the EVD of the covariance matrix from the complex range-aligned echoes, the translational motion phase error can be estimated as the single eigenvector corresponding to the largest eigenvalue. This method is called single eigenvalue autofocus (SEA) [114]. Recently, the efficiency of TMC has been improved by a new concept called eigenimage, which defines the fast Fourier transform output of the principal eigenvectors [115].…”

Section: Isar Imaging Technologymentioning

confidence: 99%

“…the order of O(M 3 ), where M is the dimension of the covariance matrix with respect to the number of pulse samples [113][114][115]. To enhance the cross-range resolution of the given pulse repetition frequency, a larger observation pulse number is usually requested.…”

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%

Section: Isar Imaging Technologymentioning

confidence: 99%

Section: Isar Imaging Technologymentioning

confidence: 99%

See 2 more Smart Citations

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

Liang

Liu

2019

Sci. China Inf. Sci.

Self Cite

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“…Many phase autofocus methods have been widely discussed in literatures [4–11]. If the target's scatterers are distributed evenly and its rotational motion can be neglected, it has been proved that the phase error obtained by Doppler centroid tracking (DCT) is a maximum likelihood estimation [4].…”

Section: Introductionmentioning

confidence: 99%