High-Resolution Bistatic ISAR Image Formation for High-Speed and Complex-Motion Targets

Zhang, Shunsheng; Sun, Sibo; Zhang, Wei; Zong, Zhi‐Min; Yeo, Tat‐Soon

doi:10.1109/jstars.2015.2417192

Cited by 42 publications

(15 citation statements)

References 22 publications

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“…Hence, the bistatic-ISAR system has been an effective solution for space targets surveillance [7][8][9][10][11][12]. The bistatic-ISAR research, with respect to application and algorithm, has been studied in recent years [6,[13][14][15][16][17][18][19].…”

Section: Introductionmentioning

confidence: 99%

Bistatic-ISAR Linear Geometry Distortion Alleviation of Space Targets

et al. 2019

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The linear geometry distortion caused by time variant bistatic angles induces the sheared shape of the bistatic inverse synthetic aperture radar (bistatic-ISAR) image. A linear geometry distortion alleviation algorithm for space targets in bistatic-ISAR systems is presented by exploiting prior information. First, we analyze formation mathematics of linear geometry distortions in the Range Doppler (RD) domain. Second, we estimate coefficients of first-order polynomial of bistatic angles by least square error (LSE) method through exploiting the imaging geometry and orbital information of space targets. Third, we compensate the linear spatial-variant terms to restore the linear geometry distortions. Consequently, the restored bistatic-ISAR image with real shape is obtained. Simulated results of the ideal point scatterers dataset and electromagnetic numerical dataset verify the performance of the proposed algorithm.

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Section: Introductionmentioning

confidence: 99%

Bistatic-ISAR Linear Geometry Distortion Alleviation of Space Targets

et al. 2019

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“…Since the echoes of the high-speed target do not satisfy the traditional "stop-go" model, the Taylor expansion method and motion decomposition method are both no longer valid. According to Zhang et al [13], the idea of speed compensation function from monostatic ISAR was used to deal with the effect of high-speed motion, and the quadratic phase caused by high-speed motion was eliminated using fractional Fourier transform (FrFT), but the imaging accuracy was limited by the length of the FrFT search step. Xiao et al [14] established the echo model of the high-speed target and treated it as the linear frequency-modulated signals.…”

Section: Introductionmentioning

confidence: 99%

Bistatic ISAR Sparse Imaging Method for High-Speed Moving Target Based on Dechirping Processing

Zeng

Zhu

Xin

2019

International Journal of Antennas and Propagation

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Bistatic inverse synthetic aperture radar (ISAR) can increase the probability of tracking the high-speed target and provide more angle information than monostatic ISAR. However, bistatic ISAR suffers from a serious defocusing problem, resulting from the high-speed motion. Furthermore, the inherent geometry distortion and calibration problems make bistatic ISAR (B-ISAR) imaging more complex. In response to these problems, we propose a bistatic ISAR imaging method for high-speed moving target with geometric distortion correction and calibration based on dechirping processing. At first, based on the motion decomposition idea, the B-ISAR echo model of the high-speed moving target is established. Then, by analyzing the imaging mechanism of the Range-Doppler algorithm (RDA), we eliminate the phase items influencing the imaging quality with speed compensation and Doppler compensation. After that, the analytic formula of the geometric distortion factor and calibration factor are deduced, which helps transform the geometric correction and calibration problem into a parameter estimation problem. Finally, with the sparsity of the scattering points, the required parameters are solved using the expectation maximization (EM) algorithm based on the maximum a posteriori probability criterion. With the estimated parameters, a clear B-ISAR image of a high-speed moving target with geometric correction and calibration is obtained. The simulations show that the proposed method has a better resolution and simultaneously attains geometric correction and calibration of the image.

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“…The bistatic ISAR using the non-backscatter echo [4,5], can provide more adequate look-angle diversity than the monostatic ISAR [6][7][8][9]. Research on bistatic ISAR including the imaging principle, algorithm and application has attracted much attention recently [10][11][12][13][14][15][16][17].…”

Section: Introductionmentioning

confidence: 99%

A Novel Channel Calibration Method for Bistatic ISAR Imaging System

Shi

Guo

et al. 2018

Applied Sciences

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In practical bistatic inverse synthetic aperture radar (ISAR) imaging systems, the echo signals are modulated by non-ideal amplitude and phase characteristics of the transmitting and receiving channels, which seriously distorts image quality. However, the conventional channel calibration method based on a transponder is not applicable to bistatic ISAR imaging systems, since the baseline of the system is up to hundreds of kilometers. A channel calibration method only using calibration satellite echo information is proposed for the system, with a linear frequency modulation (LFM) waveform. Firstly, echoes of the calibration satellite are collected by tracking the satellite and multi-period echoes are aligned in the time domain, according to the pulse compression result. Then, the signal to noise ratio (SNR) is improved by accumulating multi-period echoes coherently in the time domain and the calibration coefficient is constructed based on the accumulated signal. Finally, spectrum of the echo signal is multiplied with the calibration coefficient to compensate the influence of channel characteristics. The effectiveness of the proposed method is verified by the simulation experiment with real satellite echoes.

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High-Resolution Bistatic ISAR Image Formation for High-Speed and Complex-Motion Targets

Cited by 42 publications

References 22 publications

Bistatic-ISAR Linear Geometry Distortion Alleviation of Space Targets

Bistatic-ISAR Linear Geometry Distortion Alleviation of Space Targets

Bistatic ISAR Sparse Imaging Method for High-Speed Moving Target Based on Dechirping Processing

A Novel Channel Calibration Method for Bistatic ISAR Imaging System

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