Reception and calibration of bistatic SF ISAR imaging system with wideband receiver

Xiong, Di; Zhang, Xiongkui; Wang, Junling; Zhao, He; Gao, Meiguo

doi:10.1049/iet-rsn.2016.0360

Cited by 6 publications

(11 citation statements)

References 19 publications

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“…Calculate RVω 0 according to θ m /CPI. CalculateK 0 andK 1 according to Equations (16) and (17), respectively.…”

Section: Algorithm Summarymentioning

confidence: 99%

“…Step (16) and (17), respectively. Step 4: Construct phase terms for compensation according to Equation (21) and compensate the signal () nm st of each range-bin with the corresponding compensation term.…”

Section: Simulation Settingmentioning

confidence: 99%

“…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%

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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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“…Calculate RVω 0 according to θ m /CPI. CalculateK 0 andK 1 according to Equations (16) and (17), respectively.…”

Section: Algorithm Summarymentioning

confidence: 99%

Section: Simulation Settingmentioning

confidence: 99%

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Bistatic-ISAR Linear Geometry Distortion Alleviation of Space Targets

et al. 2019

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“…However, cost and design limitations are major hindrances to increasing radar bandwidth [1]. Researchers tend to adjust the signal processing approach to achieve a similar performance, especially when upgrading existing radar systems [3]. Multiband fusion imaging technology can effectively improve the range resolution of the radar by fusing the target frequency responses in different sub‐bands to achieve a higher bandwidth in terms of the signal level without increasing the hardware cost [1, 4–8].…”

Section: Introductionmentioning

confidence: 99%

Sub‐band mutual‐coherence compensation in multiband fusion ISAR imaging

Xiong

Wang

Zhao

et al. 2019

IET Radar, Sonar & Navigation

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“…However, the baseline between the transmitting station and receiving station is up to hundreds of kilometers in bistatic ISAR systems, which results in failure of the aforementioned method. In [27] a channel calibration method for bistatic stepped-frequency (SF), ISAR imaging systems based on accumulated spherical satellite echoes are studied to compensate the non-ideal channel characteristic and keep the coherence of the sub-pulses within a burst required by the system. However, the accumulation process of corresponding sub-pulse data in each burst needs to know in advance the precise orbital information and requires strict full-phase-coherence of the system.…”

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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Reception and calibration of bistatic SF ISAR imaging system with wideband receiver

Cited by 6 publications

References 19 publications

Bistatic-ISAR Linear Geometry Distortion Alleviation of Space Targets

Bistatic-ISAR Linear Geometry Distortion Alleviation of Space Targets

Sub‐band mutual‐coherence compensation in multiband fusion ISAR imaging

A Novel Channel Calibration Method for Bistatic ISAR Imaging System

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