Image distortion characterization due to equivalent monostatic approximation in near field bistatic SAR imaging
I2MTC 2017 - 2017 IEEE International Instrumentation and Measurement Technology Conference, Proceedings, Page: 1-5
2017
- 4Citations
- 9Usage
- 4Captures
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations4
- Citation Indexes4
- Usage9
- Abstract Views9
- Captures4
- Readers4
Conference Paper Description
The ω-k synthetic aperture radar (SAR) algorithm is a computationally efficient algorithm for near field three-dimensional (3D) monostatic SAR imaging in nondestructive testing applications. However, bistatic measurements are preferred in order to obtain high dynamic range, in particular when real-time imaging arrays are used. This paper investigates the image distortion caused by using an equivalent monostatic imaging algorithm for bistatic measurements. Simulation and measurement at millimeter wave frequencies in Ka-band (26.5-40 GHz) are used to investigate the resultant image distortion. Further, the image distortion is quantified through root-mean-square (RMS) error which is calculated as a function of bistatic transmitter-receiver separation distance, range and noise power.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85026729367&origin=inward; http://dx.doi.org/10.1109/i2mtc.2017.7969810; http://ieeexplore.ieee.org/document/7969810/; http://xplorestaging.ieee.org/ielx7/7959776/7969646/07969810.pdf?arnumber=7969810; https://scholarsmine.mst.edu/ele_comeng_facwork/2291; https://scholarsmine.mst.edu/cgi/viewcontent.cgi?article=3291&context=ele_comeng_facwork
Institute of Electrical and Electronics Engineers (IEEE)
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know