Coherent Phase Compensation Method Based on Direct if Sampling in Wideband Radar

Lin, Qiang; Chen, Zeng Ping; Zhang, Yue; Lin, Jianzhi

doi:10.2528/pier12122203

Cited by 8 publications

(8 citation statements)

References 19 publications

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“…With the development of ADC and high-speed storage technologies, direct intermediate frequency sampling for wideband radar becomes realistic and is widely employed in engineering [14]. The DIFS technique has the advantage in maintaining the coherence of echo pulse.…”

Section: Matched Filtering On Difs Signalsmentioning

confidence: 99%

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Wideband radar imaging for space debris based on direct IF sampling signals

Liu

Chen

2014

Electro-Optical Remote Sensing, Photonic Technologies, and Applications VIII; And Military Applications in Hyperspectral Imagin

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This paper investigates an imaging method for space debris by wideband radar. Because of the spinning of the space debris, the correlation of the adjacent high range resolution profile (HRRP) is undermined and the motion compensation method for dechirped echoes is invalid. Therefore, a wideband imaging method of space debris based on intermediate frequency sampling (DIFS) signals is proposed in this paper. The IF sampling technique has the advantage in maintaining the coherence of echo pulse, which eliminates the negative influence of the spin. Firstly, the accurate translational motion parameters of the target are estimated from the radar observations by using of polynomial fitting method. Then the translational motion compensation is carried out in frequency domain based on the target motion track. Finally, the improved back projection transform (BPT) method is used for image reconstruction, which transforms the echo from range-time domain to the scattering point distribution plane by coherent integral. A well-focused and high resolution image of the space debris without side lobe peaks can be obtained in the end. The simulation results indicate the validity of the proposed method in this paper.

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Section: Matched Filtering On Difs Signalsmentioning

confidence: 99%

“…The DIFS technique has the advantage in maintaining the coherence of echo pulse. Based on the coherent property, the translational motion compensation can be implemented by taking in coherent method based on the motion track of the target [14,15], which eliminates the negative influence caused by the spinning.…”

Section: Introductionmentioning

confidence: 99%

Wideband radar imaging for space debris based on direct IF sampling signals

Liu

Chen

2014

Electro-Optical Remote Sensing, Photonic Technologies, and Applications VIII; And Military Applications in Hyperspectral Imagin

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“…Because only rotational motion of target contributes to the Doppler spectrum in ISAR imaging, the translational motion is undesirable and needs to be eliminated before applying cross-range focusing. Theoretically, it can be compensated based on the measured parameters of motion, such as speed and trajectory of target [17]. However, due to the uncooperative motion of target and the imprecision of radar system, there are always errors in the measurements.…”

Section: Compensation Of Phase Errors In Isar Imagingmentioning

confidence: 99%

Compensation of Phase Errors for Compressed Sensing Based Isar Imagery Using Inadequate Pulses

Hou¹,

Fan²,

Su³

et al. 2015

PIER M

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Abstract-Due to the inaccuracies in radar's measurement, autofocus including range alignment and phase compensation is always essential in inverse synthetic aperture radar (ISAR) imagery. Compressed sensing (CS) based ISAR imagery suggests that the image of target can be reconstructed from much fewer random pulses. Because the number of pulses is inadequate and the pulse intervals are nonuniform, conventional phase compensating algorithms can't work in CS imaging. In this paper, an iterative algorithm is proposed to compensate the phase errors and reconstruct high-resolution focused image from limited pulses. In each iteration, the image of target is reconstructed by CS method, and then the estimation of phase errors is updated based on the reconstructed image. By cycling these steps, well-focused image can be obtained. The smoothed 0 algorithm is used to reconstruct the image, and the idea of minimum entropy optimization is used to estimate the phase errors. Besides, a method of extracting range bins in range profile based on amplitude information is proposed, which can reduce the computational complexity and improve the speed of convergence considerably. Both simulation and experiment results from real radar data demonstrate the effectiveness and feasibility of our method.

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“…However, it is not the situation for stretch processing, where the signal model can be expressed in frequency domain as [23]:…”

Section: Velocity Estimationmentioning

confidence: 99%

“…Compared to dechirping (or stretch) processing, matched-filter correlation processing can keep both the HRRP and phase history of the echoes coherent [23]. Thus the translational motion compensation parameters for ISAR imaging are just the radial motion parameters of the target.…”

Section: Introductionmentioning

confidence: 99%

Precise Radial Velocity Estimation for Inverse Synthetic Aperture Radar

Lin¹,

Zhang²,

Li³

et al. 2016

PIER M

Self Cite

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Abstract-This paper describes a convenient technique of precise radial velocity estimation for inverse synthetic aperture radar (ISAR). In order to keep both the range profile and phase history of the echoes coherent, direct sampling with high sampling rate using high performance analog-to-digital converter and matched-filter correlation processing in pulse compression are used for the ISAR system. Due to the coherence property of the echoes, the translational motion compensation parameters for ISAR imaging are just the radial motion parameters of the target. Thus, the coarse velocity estimation is obtained by range alignment and fine velocity estimation is achieved by phase adjustment. The fine velocity estimation is ambiguous and the coarse velocity estimation is used for ambiguity resolution. The advantage of this technique is the high precision with range error values at sub wavelength levels, and it achieves velocity information and translational motion compensation at the same time. Both simulated and experimental validations are presented to verify the effectiveness of the proposed method.

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Coherent Phase Compensation Method Based on Direct if Sampling in Wideband Radar

Cited by 8 publications

References 19 publications

Wideband radar imaging for space debris based on direct IF sampling signals

Wideband radar imaging for space debris based on direct IF sampling signals

Compensation of Phase Errors for Compressed Sensing Based Isar Imagery Using Inadequate Pulses

Precise Radial Velocity Estimation for Inverse Synthetic Aperture Radar

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