摘要
阵列孔径损失和计算复杂度大是近场源参数估计面临的两大亟待解决的问题,提出一种类似NEST阵列模型的新模型,利用四阶累积量扩展阵列孔径,使可估计信源个数远远大于实际阵元数;并结合基于特征方程算法(characteristic equation-based method,CEM)思想避免特征值分解和谱峰搜索,极大降低了算法的计算复杂度。最后,基于已获得的近场源的角度信息,估计出所有近场源的距离信息。理论分析和实验仿真结果表明,在保证参数估计精度的前提下,所提算法的计算复杂度低,具有较高的阵列利用率,并且可以避免二维参数配对。
Loss of the array aperture and complicated computation have always been serious problems for parameter estimation of the near-field sources.A new array model is proposed which is similar to the NEST ar-ray model,using the forth-order cumulation to extend the array aperture.The number of sources estimated by the proposed algorithm is thus much larger than the number of actual arrays.Moreover,we combine the idea of the characteristic equation-based method （CEM）to avoid eigenvalue decomposition and spectrum peak search, greatly reducing the complexity of computation.Finally,based on the angle information of near-field sources, the range information of near-field sources is estimated.Theoretical analysis and simulation results show that on the premise of the accuracy of parameter estimation,the proposed algorithm has lower computational complexity and higher utilization of arrays,which also avoids two-dimensional parameter matching.
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2015年第7期1476-1482,共7页
Systems Engineering and Electronics
基金
中央高校基本科研业务费专项资金(HEUCF140803)资助课题
关键词
阵列信号处理
高阶累积量
阵列孔径扩展
基于特征方程算法
多项式求根
array signal processing
high-order cumulation
array aperture extension
characteristic equation based method （CEM）
polynomial root
