电讯技术Issue(8)：872-878,7.DOI:10.3969/j.issn.1001-893x.2015.08.008
采用遗传算法的MIMO雷达L型阵列稀布优化
L-shape Sparse Array Optimization Based on Genetic Algorithm in MIMO Radar
摘要
Abstract
In order to avoid the grating lobe effect in multiple-input multiple-output( MIMO) radar caused by array sparse distribution,a synthesis and optimization algorithm of L-shape sparse array in MIMO radar is proposed. Two-dimensional pattern synthesis is achieved with L-shape sparse array in MIMO radar which is equivalent to virtual rectangular plane array. Both the transmitting and receiving antenna array ge-ometries are optimized through introducing a random perturbed variable,so that the grating lobe can be sup-pressed and two-dimensional pattern synthesis with lower relative sidelobe levels in both azimuth and ele-vation dimensions can also be obtained. In the proposed method,mutation operation in classic genetic algo-rithm is modified to enhance the global search capability. Simulation results indicate the validity of the pro-posed methods.关键词
MIMO雷达/L型阵列/遗传算法/方向图综合Key words
MIMO radar/L-shape array/genetic algorithm/pattern synthesis分类
信息技术与安全科学引用本文复制引用
和洁,冯大政,孟超,马仑..采用遗传算法的MIMO雷达L型阵列稀布优化[J].电讯技术,2015,(8):872-878,7.基金项目
国家自然科学基金资助项目(61401045) （61401045）
中央高校基本科研业务费项目(2013G1241106) Foundation Item:The National Natural Science Foundation of China(No.61401045) （2013G1241106）
The Fundamental Research Funds for the Central Uni-versities(2013G1241106) （2013G1241106）
