Synthetic Aperture Radar Sidelobe Reduction Using Different Optimization Techniques

Autor: Khaled F. Ahmed, Hala M. Abd El Qader, Mina K. Youssef
Rok vydání: 2018
Předmět:
Zdroj: Menoufia Journal of Electronic Engineering Research. 27:71-104
ISSN: 1687-1189
DOI: 10.21608/mjeer.2018.63182
Popis: The synthetic aperture radar (SAR) can be used on either anaircraft or a LEO satellite for high resolution imaging on the earth’s surface. The transmitted pulse is to be shaped and modulated before transmission. A matched filter is used to construct a compressed time domain echo pulsed signal in the receiver. The main lobe level represents the desired target in the received echo compressed pulse to be detected. The sidelobe levels represent a false alarm (undesirable detection). This paper presents different optimization algorithms to reduce the sidelobe levels. These optimization algorithms are particle swarm optimization (PSO) algorithm, pattern search (PS) algorithm and Multi-Objective Genetic Algorithm (MOGA). The algorithms will be applied on different higher orders of polynomial instantaneous frequency modulation signals. A comparison study for these different optimization algorithms for reduction the sidelode levels is presented.
Databáze: OpenAIRE