TY - GEN
T1 - Pattern synthesis for separated sub-array radar using genetic algorithm
AU - Wei, Jiang
AU - Ju, Wang
AU - Siliang, Wu
PY - 2009
Y1 - 2009
N2 - Radar system with separated sub-arrays can improve both angular accuracy and resolution at a reduced cost and technological requirements. However, the inherent high side-lobes deteriorate the performance greatly. In this paper we investigate a GA-based method to reduce the PSLL of the separated sub-array radar (SSAR), by tuning sub-array positions and element amplitude weights, simultaneously. Hybrid chromosomes and hybrid genetic operators are used for the optimization. The convergence of the proposed method is confirmed through simulations. Thus, it is shown that the GA-based method could serve as an effective aid for designing SSAR system.
AB - Radar system with separated sub-arrays can improve both angular accuracy and resolution at a reduced cost and technological requirements. However, the inherent high side-lobes deteriorate the performance greatly. In this paper we investigate a GA-based method to reduce the PSLL of the separated sub-array radar (SSAR), by tuning sub-array positions and element amplitude weights, simultaneously. Hybrid chromosomes and hybrid genetic operators are used for the optimization. The convergence of the proposed method is confirmed through simulations. Thus, it is shown that the GA-based method could serve as an effective aid for designing SSAR system.
KW - Crossover
KW - Genetic algorithm (GA)
KW - Mutation
KW - Peak side-lobe level (PSLL)
KW - Sub-array
UR - http://www.scopus.com/inward/record.url?scp=84869650837&partnerID=8YFLogxK
U2 - 10.1049/cp.2009.0133
DO - 10.1049/cp.2009.0133
M3 - Conference contribution
AN - SCOPUS:84869650837
SN - 9781849190107
T3 - IET Conference Publications
BT - IET International Radar Conference 2009
T2 - IET International Radar Conference 2009
Y2 - 20 April 2009 through 22 April 2009
ER -