2020
DOI: 10.1016/j.dsp.2020.102826
|View full text |Cite
|
Sign up to set email alerts
|

Adaptation of stepped frequency continuous waveform to range-Doppler algorithm for SAR signal processing

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1

Citation Types

0
3
0

Year Published

2021
2021
2025
2025

Publication Types

Select...
6
1

Relationship

0
7

Authors

Journals

citations
Cited by 11 publications
(3 citation statements)
references
References 20 publications
0
3
0
Order By: Relevance
“…Also, a lowcomplexity solution is introduced to implement the heavy stage of Stolt interpolation. The advantage of developing RMA in this work is that it provides better performance than the chirp [26][27][28]. Especially under near-field (NF) conditions, the CSA and the RDA create a defocused image; because they can only partially correct the range curvature.…”
Section: Introductionmentioning
confidence: 99%
“…Also, a lowcomplexity solution is introduced to implement the heavy stage of Stolt interpolation. The advantage of developing RMA in this work is that it provides better performance than the chirp [26][27][28]. Especially under near-field (NF) conditions, the CSA and the RDA create a defocused image; because they can only partially correct the range curvature.…”
Section: Introductionmentioning
confidence: 99%
“…The matrix transpose transforms a given matrix by interchanging its rows and columns so that the rows become columns and the columns become rows. Matrix transpose is regularly used in SAR imaging to compute the 2D FFT [19][20][21][22][23]. First, the 1D FFT is performed along each row of a matrix; then, the matrix is transposed; afterwards, the 1D FFT is applied along each row; finally, the matrix is transposed one more time to put the resultant array in the correct order.…”
Section: Hls Ip For Matrix Transposementioning
confidence: 99%
“…As proof of concept, we present a FPGA accelerator in charge of the reordering stage of VEC-FFT [18], a software-optimized version of the FFT. Among the most frequently employed SAR focusing techniques, we can find the range-doppler algorithm [19,20], CS [8,9], and Omega-K (ω-k) [21][22][23], along with their extended versions. Common to all these methods is the use of the FFT, which has a high computational cost as it involves many additions, subtractions, and multiplications.…”
Section: Introductionmentioning
confidence: 99%