Processing One-Stationary Bistatic Sar Data Using Inverse Scaled Fourier Transform

Wu, Junjie; Li, Zhongyu; Huang, Yulin; Liu, Qing; Yang, Jianyu

doi:10.2528/pier12021506

Cited by 10 publications

(9 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…SS-BSAR is a novel and active involvement in bistatic SAR community in past decade [1][2][3][4][5]. It consists of a spaceborne transmitter and a receiver located on or near the earth.…”

Section: Introductionmentioning

confidence: 99%

Ss-Bsar With GNSS and a Stationary Receiver-Experimental Results

Zeng

2013

PIER B

View full text Add to dashboard Cite

Abstract-This paper presents experimental results in the study of Space-surface Bistatic SAR (SS-BSAR) with global navigation satellite system (GNSS) and stationary receiver. The system uses GNSS as the transmitter of opportunity and a self-built, low cost receiver being setup and fixed on the earth. It is potentially useful at remote sensing applications such as earth monitoring. The system prototype and signal processing at each stage leading to final image are described. Experimental image analysis is the core of this paper, and therefore performed in details finally.

show abstract

“…SS-BSAR is a novel and active involvement in bistatic SAR community in past decade [1][2][3][4][5]. It consists of a spaceborne transmitter and a receiver located on or near the earth.…”

Section: Introductionmentioning

confidence: 99%

Ss-Bsar With GNSS and a Stationary Receiver-Experimental Results

Zeng

2013

PIER B

View full text Add to dashboard Cite

show abstract

“…Since the input signal is given in discrete form, a discrete version of Fourier transform is used. Fourier transform is a fundamental mathematical tool for signal processing and matching and finds an enormous amount of applications such as radar data processing [54], polynomial construction [55], design of devices [56], target recognition [57] and landmine detection [58], to name a few.…”

Section: Discrete Fourier Transform (Dft)mentioning

confidence: 99%

Multi-Feature Based Detection of Landmines Using Ground Penetrating Radar

Park¹,

Park²,

Kim³

et al. 2013

PIER

View full text Add to dashboard Cite

Abstract-In this paper, we present a method for detecting antitank or anti-personnel landmines buried in the ground. A set of data generated by a ground penetrating radar is processed to remove the surface reflection and clutter, yielding signals for possible landmines. In order to detect landmines in the signals, features are computed and compared against a database, which contains those of various landmines. Three features are proposed to use; principal components from principal component analysis, Fourier coefficients and singular values from singular value decomposition method, each of which is chosen to represent each landmine uniquely. Detection is performed using Mahalanobis distance-based method. Examples show that the proposed method can effectively detect landmines in various burial condition.

show abstract

“…The SCFT operation in the discrete domain is the chirp-z transform which can be efficiently performed by introducing the FFT codes [20,25].…”

Section: Modified Specan Operation In Azimuthmentioning

confidence: 99%

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

Huang¹,

Xu²

2013

PIER B

View full text Add to dashboard Cite

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.

show abstract

Processing One-Stationary Bistatic Sar Data Using Inverse Scaled Fourier Transform

Cited by 10 publications

References 16 publications

Ss-Bsar With GNSS and a Stationary Receiver-Experimental Results

Ss-Bsar With GNSS and a Stationary Receiver-Experimental Results

Multi-Feature Based Detection of Landmines Using Ground Penetrating Radar

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

Contact Info

Product

Resources

About