Title of article :
Evaluating an S-band ground-based synthetic aperture radar imaging system for LFMCW SAR processing
Author/Authors :
Hosseiny, Benyamin School of Surveying and Geospatial Engineering - College of Engineering - University of Tehran, Tehran, Iran , Amini, Jalal School of Surveying and Geospatial Engineering - College of Engineering - University of Tehran, Tehran, Iran , Esmaeilzadeh, Majid School of Surveying and Geospatial Engineering - College of Engineering - University of Tehran, Tehran, Iran , Nekoee, Mehran School of Surveying and Geospatial Engineering - College of Engineering - University of Tehran, Tehran, Iran
Abstract :
Ground-based synthetic aperture radar (GBSAR) imaging systems are used extensively in earth
observation and remote sensing applications. They are lightweight, costefficient, and resolve the main
limitations of airborne and spaceborne SAR systems, such as low data collection rate, complicated
implantation, and inefficient viewing angle to the imaging scene. This paper evaluates the signal
processing results of the developed and implemented GBSAR system at the microwave remote sensing
laboratory (MRESL) of the University of Tehran. The radar sensor consists of linear frequency modulated
continuous wave (LFMCW) operating in Sband with 330 MHz of bandwidth that is mounted on a 1.4 m
linear rail with a stepper motor. The radar sensor moves every 1 cm and records the backscattered echoes.
After the dechirping process and digitizing, the recorded signal is stored in a twodimensional array,
known as SAR 2D raw matrix. Experiments were conducted by illuminating the SAR sensor toward a
scene containing corner reflectors. SAR raw data were processed by implementing the backprojection
algorithm, and results were evaluated and compared with numerical simulations. Furthermore, the Hann
window was employed as a weighting function on the raw signal, and its effect was evaluated on the
resulting SAR image. The obtained results are promising and show the effectiveness of the developed
GBSAR in the discrimination of targets at two range and cross-range directions.
Keywords :
GBSAR , SAR signal processing , Backprojection , Imaging , Window function
Journal title :
Earth Observation and Geomatics Engineering