摘要
为提高降维导向最小方差(子阵STMV)波束形成器的性能,对子阵划分结构的影响进行分析.用编码的方法描述子阵的结构特点,建立一种编码子阵的熵值模型,利用熵值理论解决了子阵的最优划分问题.尤其是对于结构已知的缺失线列阵,通过模型的优化处理,可有效地解决缺失阵引起的高旁瓣问题.对某缺失线列阵仿真结果表明,优化后的STMV对高旁瓣抑制能力较CBF处理可提高10～18 dB.最后,通过海上试验数据处理,证明所提出模型的有效性及可行性.
In order to improve the performance of the dimension reduction steered minimum variance(STMV-SA),the effects of the partition structure of subarray were analyzed.A 'coding' method was used to describe the structural features of the subarray,along with construction of an entropy model as well.By utilizing of the entropy theory,the optimum partitioned subarray was designed.The entropy method proved to be especially useful in resolving the linear array problem with sensors missing that resulted in high side-lobe that used conventional beamfomer(CBF).The simulation of a linear array with some sensors missing by this method demonstrates that the optimized STMV-SA is better than CBF with 10~18 dB lower side-lobe.The model is proved feasible and effective by sea trial data.
出处
《哈尔滨工程大学学报》
EI
CAS
CSCD
北大核心
2013年第4期445-449,共5页
Journal of Harbin Engineering University
基金
国防科学技术工业委员会基础研究基金资助项目(4010201060201)
关键词
子阵划分
子阵
STMV
缺失线列阵
熵值模型
partition structure of subarray
steered minimum variance
linear array
entropy model
