A Novel Imaging Approach for High Resolution Squinted Spotlight Sar Based on the Deramping-Based Technique and Azimuth NLCS Principle

An, D.X.; Zhou, Zhimin; Huang, Xianglin; Jin, Tian

doi:10.2528/pier11112110

Cited by 22 publications

(32 citation statements)

References 13 publications

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“…Finally, we compare the resonating modes between QOBR and QOBGR at SubMM-wavelengths. The Bessel-Gauss beam generated from the designed QOBGR have many promising applications in the MM-and SubMM-wavelength range, such as power transfer [26], millimeter wave imaging [27][28][29] and medium parameter measurement [30]. These applications are being studied at present.…”

Section: Discussionmentioning

confidence: 99%

Investigation of Quasi-Optical Bessel-Gauss Resonator at Mm- And Submm-Wavelengths

Yu¹,

Dou²

2013

PIER

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Abstract-A research of a quasi-optical Bessel-Gauss resonator (QOBGR) at millimeter (MM) and submillimeter (SubMM) wavebands is presented in this paper. The design is based on the quasioptical theory and technique. The iterative Stratton-Chu formula (ISCF) algorithm is employed to analyze the output characteristics of the cavity, including the resonant modes, phases, power losses and phase shifts. Analysis of the results demonstrates that the present design of the QOBGR can support zero order or any high order mode of the pseudo Bessel-Gauss beam. At the output plane the intensity distributions of these modes are modulated by a Gauss-shaped envelope, and their phase patterns have an approximate block-like profile. Tolerance analysis for the designed QOBGR is also done. Lastly, a comparison of resonating modes is made between QOBR (quasi-optical Bessel resonator) and QOBGR when both are configured with the same geometric parameters.

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Section: Discussionmentioning

confidence: 99%

Investigation of Quasi-Optical Bessel-Gauss Resonator at Mm- And Submm-Wavelengths

Yu¹,

Dou²

2013

PIER

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“…Fortunately, the spaceborne TOPS mode usually has a limited maximum azimuth beam steering capability, and existing stripmap focusing processors [16][17][18][19][20][21][22][23][24] can implement SAR data focusing well in this case. In addition to taking conventional stripmap imaging processors, problems of the aliased Doppler spectra and the azimuth output back folding in the SAR image should be resolved.…”

Section: Modified Ecs Algorithmmentioning

confidence: 99%

An Efficient Imaging Approach for Tops Sar Data Focusing Based on Scaled Fourier Transform

Huang¹,

Xu²

2013

PIER B

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Abstract-This paper presents an efficient imaging algorithm for Terrain Observation by Progressive Scans (TOPS) mode SAR raw data focusing. First, the use of subaperture is adopted to overcome the aliased Doppler spectra due to progress azimuth beam scanning. Afterwards, range compression and range cell migration correction (RCMC) are individually implemented in each azimuth block with its individual Doppler centroid. After azimuth subaperture signal recombination, a new Doppler centroid varying rate is introduced to avoid the reconstructed Doppler spectra wrapping. Moreover, azimuth varying beam center time is removed by azimuth frequency scaling before the final azimuth spectrum analysis (SPECAN) step. Finally, the conventional Fourier transform (FT) is replaced by the scaled Fourier transform (SCFT) step to obtain the uniform azimuth space sampling interval. Since the proposed imaging algorithm is without any interpolations and azimuth data extension, it is highly efficient. Simulation results on point targets validate the proposed algorithm.

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“…With the rapid development in the past years [1][2][3][4][5], the high-resolution SAR is capable of producing very high quality images. It is reported that typical sensor platforms is able to provide wide area search coverage (approximately 100 km 2 area per minute) at 1.0 m × 1.0 m resolution [6].…”

Section: Introductionmentioning

confidence: 99%

Cfar Target Detection in Ground Sar Image Based on Kk Distribution

Gao¹,

Zhan²,

Wan³

et al. 2013

PIER

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Abstract-This paper deals with the problem of constant false alarm rate (CFAR) target detection in high-resolution ground synthetic aperture radar (SAR) images based on KK distribution.For the parameter estimation of KK distribution, the semi-experiential algorithm is analyzed firstly. Then a new estimation algorithm based on the particle swarm optimization (PSO) is proposed, which takes the discrepancies between the histogram of the clutter data and probability density function (PDF) of KK distribution at some selected points as the cost function to search for the optimal parameter values using PSO algorithm. The performance of the two algorithms is compared using Monte-Carlo simulation using the simulated data sets generated under different conditions; and the estimation results validate the better performance of the new algorithm. Then the KK distribution, which is proposed for spiky sea clutter originally, is applied to model the real ground SAR clutter data. The goodness-of-fit test clearly show that the KK distribution is able to model the ground SAR clutter much better than some common used model, such as standard Kdistribution and Gamma, etc. On this basis, a global CFAR target detection algorithm is presented. The detection threshold is calculated numerically through the cumulative density function (CDF) of KK distribution. Comparing the amplitude of every SAR image pixel with this threshold, the potential targets in ground SAR images can be located effectively. Then target clustering is implemented to eliminate the false alarm and obtain more accurate target regions. The detection results of the proposed algorithm in a typical ground SAR image show that it has better performance than the detector based on G 0 distribution.

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A Novel Imaging Approach for High Resolution Squinted Spotlight Sar Based on the Deramping-Based Technique and Azimuth NLCS Principle

Cited by 22 publications

References 13 publications

Investigation of Quasi-Optical Bessel-Gauss Resonator at Mm- And Submm-Wavelengths

Investigation of Quasi-Optical Bessel-Gauss Resonator at Mm- And Submm-Wavelengths

An Efficient Imaging Approach for Tops Sar Data Focusing Based on Scaled Fourier Transform

Cfar Target Detection in Ground Sar Image Based on Kk Distribution

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