Research Article
Long Duration Linear Frequency Modulated Pulse Based Spotlight Synthetic Aperture Radar Sub-image Reconstruction Error Reduction Technique
@INPROCEEDINGS{10.4108/eai.20-6-2017.2270830, author={Peter Manyere and Edward Chikuni and Joseph Mudare and Emmanuel Rashayi and Thanks Marisa}, title={Long Duration Linear Frequency Modulated Pulse Based Spotlight Synthetic Aperture Radar Sub-image Reconstruction Error Reduction Technique}, proceedings={EAI International Conference for Research, Innovation and Development for Africa}, publisher={EAI}, proceedings_a={ACRID}, year={2018}, month={4}, keywords={: long duration pulses spotlight sar data segmentation parallel processing sub-image recombination discrete cosine transformation}, doi={10.4108/eai.20-6-2017.2270830} }- Peter Manyere
Edward Chikuni
Joseph Mudare
Emmanuel Rashayi
Thanks Marisa
Year: 2018
Long Duration Linear Frequency Modulated Pulse Based Spotlight Synthetic Aperture Radar Sub-image Reconstruction Error Reduction Technique
ACRID
EAI
DOI: 10.4108/eai.20-6-2017.2270830
Abstract
The Spotlight Synthetic Aperture Radar (SSAR) is capable of producing high quality images with very high resolution in both the azimuth and range when operated with long duration pulses. Long duration pulses also allow high power to be transmitted using miniaturized radar transmitters, thus also extending the radar range. The major drawback to the use of long duration radar pulses is the need for a large radar memory and the reduction in processing speed. Segmentation of the radar data and its parallel processing addresses the limitation of memory and processing speed. However, the recombination of processed segments reduces the image quality due to recombination errors. The use of both Fast Fourier transformation (FFT) and Discrete Cosine transformation (DCT) in SSAR data processing eradicates the errors associated with sub-image reconstruction.
