New SAR Algorithm for Sidelobe Reduction in Range direction | ||||
The International Conference on Electrical Engineering | ||||
Article 17, Volume 11, 11th International Conference on Electrical Engineering ICEENG 2018, April 2018, Page 1-19 PDF (792.06 K) | ||||
Document Type: Original Article | ||||
DOI: 10.21608/iceeng.2018.30138 | ||||
View on SCiNiTO | ||||
Authors | ||||
Ahmed Azouz1; Ahmed Eldemiry1; Abdelhamid Gaafar2 | ||||
1Egyptian Armed Forces. | ||||
2Communication Dep., AASTMT, Cairo, Egypt. | ||||
Abstract | ||||
Sidelobes degrade radar performance by placing energy up and down range from its source. Range sidelobes associated with a large radar cross section (RCS) target may mask the presence of a smaller target located within a pulse width of the larger target; thus, “low” sidelobes are a desirable property. All the synthetic aperture radar (SAR) Sidelobe reduction algorithms which using matched filtering (windowing) like hamming window reduce the sidelobes on the expense of degrading the resolution. Our proposed algorithm using an optimum filter is reduced the sidelobes in range direction while keeping range resolution. In this paper, drive the formula for filter that reduce the sidelobe after linear frequency modulation matched filter then check the ambiguity function for proposed filter. Finally applied simulated and real raw data of SAR to proposal algorithm for SAR image formation and range Doppler algorithm and measure the quality of focused image. | ||||
Keywords | ||||
SAR; linear frequency modulation (LFM); Optimum filter; Range Resolution; Sidelobe reduction | ||||
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