Spaceborne/airborne bistatic synthetic aperture radar focusing on an analytical bistatic point target reference spectrum

Xu, Honggang; Song, Hongjun; Deng, Yunkai; Wang, Robert; Shan, Xiuming; Yuan, Jian; Wang, Chunle

doi:10.1049/iet-rsn.2012.0133

Cited by 4 publications

(5 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This section recalls the deducing of the PTRS with the method in [25]. Applying the 2D Fourier transformation (FT) to (3) with respect to the fast time and the slow time, the spectrum is given by

S S_{i} false(f_{τ}, f_{t} false) = P false(f_{τ} false) \int_{- normal∞}^{\infty} \exp \{- j 2 π (f_{normalc} + f_{τ}) \frac{R_{i} (t; r)}{c} - normalj 2 π f_{t} t\} d t

where

P false(f_{τ} false)

denotes the spectrum corresponding to the transmitted signal.…”

Section: Ptrs and The Phase Error Analysismentioning

confidence: 99%

“…Then, (8) is substituted into (5), which can be further expressed as

f_{t} = - \frac{f_{τ} + f_{c}}{c} D v^{2} \frac{2 t + (d_{i} / v) + 2 (r / c)}{r}

On the basis of (9), the one‐to‐one relation between the slow time and the Doppler in the azimuth dimension can be obtained. It is equivalent to the common PSP, which is given by

t_{i}^{*} = - \frac{c r f_{t}}{2 D v^{2} ()(, f_{τ} + f_{c})} - (\frac{d_{i}}{2 v} + \frac{r}{c})

On the basis of [25], (8) is substituted into the slant range, i.e.

R_{\Pr} ()(, t; r)

and

R_{Hy_i} ()(, t; r)

in (4), and (10) is substituted into the slow time, i.e.…”

Section: Ptrs and The Phase Error Analysismentioning

confidence: 99%

“…Unlike Xus’ method in [25], the common PSP shown as (10) is substituted into the phase of the integral in (4). Then, a new PTRS can be obtained.…”

Section: Ptrs and The Phase Error Analysismentioning

confidence: 99%

“…The approximation used with these methods leads to the blurring at close range [19]. Xu et al [25] derive another PTRS based on the one‐to‐one relationship between the slow time and the Doppler frequency. With this method, the series approximation is avoided.…”

Section: Introductionmentioning

confidence: 99%

“…In this paper, a new PTRS is presented based on the modification of Xus’ PTRS in [25], the phase errors indicate that the presented PTRS is much more accurate than Xus’ PTRS and the LBF. Then, a fast imaging algorithm is proposed.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Fast imaging algorithm for the multiple receiver synthetic aperture sonars

Zhang

Dai

Yang

2018

IET Radar, Sonar & Navigation

View full text Add to dashboard Cite

S S_{i} false(f_{τ}, f_{t} false) = P false(f_{τ} false) \int_{- normal∞}^{\infty} \exp \{- j 2 π (f_{normalc} + f_{τ}) \frac{R_{i} (t; r)}{c} - normalj 2 π f_{t} t\} d t

where

P false(f_{τ} false)

denotes the spectrum corresponding to the transmitted signal.…”

Section: Ptrs and The Phase Error Analysismentioning

confidence: 99%

“…Then, (8) is substituted into (5), which can be further expressed as

f_{t} = - \frac{f_{τ} + f_{c}}{c} D v^{2} \frac{2 t + (d_{i} / v) + 2 (r / c)}{r}

On the basis of (9), the one‐to‐one relation between the slow time and the Doppler in the azimuth dimension can be obtained. It is equivalent to the common PSP, which is given by

t_{i}^{*} = - \frac{c r f_{t}}{2 D v^{2} ()(, f_{τ} + f_{c})} - (\frac{d_{i}}{2 v} + \frac{r}{c})

On the basis of [25], (8) is substituted into the slant range, i.e.

R_{\Pr} ()(, t; r)

and

R_{Hy_i} ()(, t; r)

in (4), and (10) is substituted into the slow time, i.e.…”

Section: Ptrs and The Phase Error Analysismentioning

confidence: 99%

“…Unlike Xus’ method in [25], the common PSP shown as (10) is substituted into the phase of the integral in (4). Then, a new PTRS can be obtained.…”

Section: Ptrs and The Phase Error Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Fast imaging algorithm for the multiple receiver synthetic aperture sonars

Zhang

Dai

Yang

2018

IET Radar, Sonar & Navigation

View full text Add to dashboard Cite

Influence of the stop-and-hop assumption on synthetic aperture sonar imagery

Zhang¹,

Chen²,

Qu³

2017

2017 IEEE 17th International Conference on Communication Technology (ICCT)

View full text Add to dashboard Cite

Spaceborne Synthetic Aperture Radar Data Focusing on Multicore-Based Architectures

Imperatore

Pepe

Lanari

2016

IEEE Trans. Geosci. Remote Sensing

View full text Add to dashboard Cite

This paper describes a general-purpose parallel scheme for efficiently focusing synthetic aperture radar (SAR) data on multicore-based shared-memory architectures. The rationale of the proposed tiling-based parallel focusing model is first discussed, and then, its implementation structure is illustrated. The adopted parallel solution, which is based on a canonical processing pattern, exploits a segmented-block-based approach and works successfully on data acquired by different spaceborne SAR platforms. Insofar as a significant portion of the focusing algorithm is amenable to tiling, our approach decomposes the problem into simpler subproblems of the same type, also providing a suitable mechanism to explicitly control the granularity of computation through the proper specification of the tiling at the different stages of the algorithm itself. Relevant implementation makes use of multithreading and high-performance libraries. Achievable performances are then experimentally investigated by quantifying the benefit of the parallelism incorporated into the prototype solution, thus demonstrating the validity of our approach. Accordingly, canonical performance metrics have been evaluated, and the pertinent scalability has been examined on different multicore architectures. Furthermore, in order to emphasize the practical ability of the proposed parallel model implementation to efficiently deal with data of different SAR sensors, a performance analysis has been carried out in different realistic scenarios including data acquired by the Envisat/ASAR, RADARSAT-1, and COSMOSkyMed platforms.Index Terms-Focusing algorithms, high-performance computing (HPC), parallel computing, synthetic aperture radar (SAR).

show abstract

Spaceborne/airborne bistatic synthetic aperture radar focusing on an analytical bistatic point target reference spectrum

Cited by 4 publications

References 21 publications

Fast imaging algorithm for the multiple receiver synthetic aperture sonars

Fast imaging algorithm for the multiple receiver synthetic aperture sonars

Influence of the stop-and-hop assumption on synthetic aperture sonar imagery

Spaceborne Synthetic Aperture Radar Data Focusing on Multicore-Based Architectures

Contact Info

Product

Resources

About