Title :
Antenna Mask Design for SAR Performance Optimization
Author :
Kim, Se Young ; Myung, Noh Hoon ; Kang, Min Jeong
Author_Institution :
Sch. of Electr. Eng. & Comput. Sci., Korea Adv. Inst. of Sci. & Technol., Daejeon
fDate :
7/1/2009 12:00:00 AM
Abstract :
In this letter, an effective technique for synthetic aperture radar (SAR) antenna mask design is presented for optimizing the system performance of an active phased array SAR. The SAR antenna radiation pattern has an important effect on the system performance. Therefore, the authors derived the quantitative equations for the SAR antenna mainlobe and sidelobe mask design on the basis of the system performance measures such as the range-to-ambiguity ratio (RAR), the noise-equivalent sigma zero (NESZ), and the radiometric accuracy. The antenna mask template should be designed to minimize the ambiguous signals reflected from the antenna sidelobes and maximize the system sensitivity, i.e., the NESZ, determined by the antenna mainlobe. The simple iterative method such as random-mutation hill climbing was utilized to successfully assign the sidelobe level at each ambiguous area using the derived equations. Finally, the antenna patterns were synthesized with reference to the optimized antenna mask templates using the particle swarm optimization, and the swath width, RAR, and NESZ performances were evaluated in order to confirm the effectiveness of the proposed technique.
Keywords :
antenna radiation patterns; iterative methods; particle swarm optimisation; phased array radar; radar antennas; radiometry; synthetic aperture radar; SAR antenna mainlobe; SAR antenna radiation pattern; active phased array SAR performance optimization; antenna mask design; iterative method; noise-equivalent sigma zero; particle swarm optimization; radiometry; sidelobe mask design; synthetic aperture radar; Active phased array synthetic aperture radar; antenna mask; noise-equivalent sigma zero (NESZ); particle swarm optimization (PSO); range-to-ambiguity ratio (RAR);
Journal_Title :
Geoscience and Remote Sensing Letters, IEEE
DOI :
10.1109/LGRS.2009.2016356