Back Projection Version of Subspace Detector SAR Processors

Durand, Rémi; Ginolhac, Guillaume; Thirion-Lefevre, Laetitia; Forster, Philippe

doi:10.1109/taes.2011.5751274

Cited by 7 publications

(4 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…According to the BP theory in SAR imaging [ 21 , 22 ], the target scattering information is obtained by projecting the range profile to the space position of each resolution cell. The resolution cell denotes the grid cell in coded-aperture imaging.…”

Section: Imaging Methodsmentioning

confidence: 99%

“…Besides, both traditional TCAI and GM-TCAI modulate the signals in the transmitting terminal, which terribly reduce the working distance. Therefore, based on BP [ 21 , 22 ] and single input multiple output (SIMO) architecture, this paper proposes a new imaging method called back projection (BP)-TCAI (BP-TCAI). Different from current TCAI, the SIMO architecture performs the modulation operation in the receiving terminal with multiple detectors, which has no influence on the working distance.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Three-Dimensional Terahertz Coded-Aperture Imaging Based on Back Projection

Chen

Luo

Wang

et al. 2018

Sensors

View full text Add to dashboard Cite

Terahertz coded-aperture imaging (TCAI) can overcome the difficulties of traditional radar in forward-looking and high-resolution imaging. Three-dimensional (3D) TCAI relies mainly on the reference-signal matrix (RSM), the large size and poor accuracy of which reduce the computational efficiency and imaging ability, respectively. According to the previous research on TCAI, traditional TCAI cannot reduce the heavy computational burden while the improved TCAI achieve reconstructing the target parts of different ranges in parallel. However, large-sized RSM still accounts for the computational complexity of traditional TCAI and the improved TCAI. Therefore, this paper proposes a more efficient imaging method named back projection (BP)-TCAI (BP-TCAI). Referring to the basic principle of BP, BP-TCAI can not only divide the scattering information in different ranges but also project the range profiles into different imaging subareas. In this way, the target parts in different subareas can be reconstructed simultaneously to synthesize the whole 3D target and thus decomposes the computational complexity thoroughly. During the pulse compression and projection processes, the signal-to-noise ratio (SNR) of BP-TCAI is also improved. This present the imaging method, model and procedures of traditional TCAI, the improved TCAI and the proposed BP-TCAI. Numerical experimental results prove BP-TCAI to be more effective and efficient than previous imaging methods of TCAI. Besides, BP-TCAI can also be seen as synthetic aperture radar (SAR) imaging with coding technology. Therefore, BP-TCAI opens a future gate combining traditional SAR and coded-aperture imaging.

show abstract

Section: Imaging Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Three-Dimensional Terahertz Coded-Aperture Imaging Based on Back Projection

Chen

Luo

Wang

et al. 2018

Sensors

View full text Add to dashboard Cite

show abstract

“…More details on processing complexity and computational times of subspace SAR algorithms can be found in [8], [27]. Moreover, accuracy of the subspace models with respect to angular sampling and rank reduction is studied in [7].…”

Section: Two Interference Matrices I Hmentioning

confidence: 99%

New SAR target imaging algorithm based on oblique projection for clutter reduction

Brigui

Ginolhac²,

Thirion-Lefevre

et al. 2014

IEEE Trans. Aerosp. Electron. Syst.

Self Cite

View full text Add to dashboard Cite

We have developed a new Synthetic Aperture Radar (SAR) algorithm based on physical models for the detection of a Man-Made Target (MMT) embedded in strong clutter (trunks in a forest). The physical models for the MMT and the clutter are represented by low-rank subspaces and are based on scattering and polarimetric properties. Our SAR algorithm applies the oblique projection of the received signal along the clutter subspace onto the target subspace. We compute its statistical performance in terms of probabilities of detection and false alarms. The performances of the proposed SAR algorithm are improved compared to those obtained with existing SAR algorithms: the MMT detection is greatly improved and the clutter is rejected. We also studied the robustness of our new SAR algorithm to interference modeling errors. Results on real FoPen (Foliage Penetration) data showed the usefulness of this approach.

show abstract

“…In theory, the time‐domain back‐projection algorithm (BPA) [3] can be applied to SAR system with arbitrary trajectory and imaging mode, but the point‐by‐point interpolation operation makes it have a considerable amount of computation. As an improved time‐domain imaging algorithm, fast factorised BPA (FFBPA) [4, 5] greatly reduces the number of interpolation times by splitting the back‐projection integrals and synthesising them step by step.…”

Section: Introductionmentioning

confidence: 99%