摘要
针对互质阵列产生连续延迟较少且冗余度高的问题,该文提出了两种基于互质阵列的稀疏设计方法。首先,通过分析阵元位置对互质阵列差分共阵总延迟和连续延迟影响,得出互质阵列在去掉特定阵元后,将不改变连续延迟拓扑。然后,优化传感器阵列布局,在保持整个阵列的阵元数不变的条件下,增加阵列连续延迟数量。其后,分别推得了两种提出阵列设计方法的连续延迟和自由度相关的数学表达式。最后,以相同物理传感器和相同估计方法开展对比仿真,验证提出稀疏阵列设计的DOA估计性能。
For the problem of a low number of consecutive lags and high redundancy of sensors in the coprime array,two sparse arrays are proposed in this paper.First,by analyzing the influence of the sensor positions on the unique lags and consecutive lags of the difference coarray,it is concluded that the range of the consecutive lags in the coprime array is not changed after removing the specific sensors.Then,entire array structure is optimized while keeping the number of sensors unchanged,increasing the number of consecutive lags.Afterward,mathematical expressions of the consecutive lags and degree of freedoms of the proposed arrays are derived respectively.Finally,simulations are carried out with the same physical sensors and the identical estimation method to verify the DOA estimation performance of the proposed sparse arrays.
作者
刘可
朱泽政
于军
马俊达
LIU Ke;ZHU Zezheng;YU Jun;MA Junda(The Higher Educational Key Laboratory for Measuring&Control Technology and Instrumentation of Heilongjiang Province,Harbin University of Science and Technology,Harbin 150080,China;School of Automation,Harbin University of Science and Technology,Harbin 150080,China)
出处
《电子与信息学报》
EI
CSCD
北大核心
2022年第1期372-379,共8页
Journal of Electronics & Information Technology
关键词
互质阵列
稀疏阵列
相关延迟
DOA估计
Coprime array
Sparse array
Correlation lags
Direction-Of-Arrival(DOA)estimation
