DOA estimation of generalized two-level nested MIMO radar with high degree of freedom and low mutual coupling

被引:0
|
作者
Zhang Y. [1 ]
Hu G. [1 ]
Zhou H. [1 ]
Yue S. [1 ]
Zhao F. [2 ]
机构
[1] Air and Missile Defense College, Air Force Engineering University, Xi'an
[2] Unit 93951 of the PLA, Geermu
来源
Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics | 2021年 / 43卷 / 10期
关键词
Atomic norm minimization; Degree of freedom; Direction of arrival (DOA) estimation; Mutual coupling; Nested array; Sum-difference co-array;
D O I
10.12305/j.issn.1001-506X.2021.10.15
中图分类号
学科分类号
摘要
In view of low degree of freedom and high mutual coupling of traditional two-level nested array, this paper proposes a generalized two-level nested multiple input multiple output (MIMO) configuration with high degree of freedom and low mutual coupling, which is used for direction of arrival (DOA) estimation. Firstly, the traditional two-level nested array of the transmitting array and receiving array are introduced into the coprime extension factors to reduce mutual coupling and increase degree of freedom. Secondly, the close-form expressions of degree of freedom including the coprime expansion factors, the number of continuous virtual elements and the total number of virtual elements under the structures of "sum-difference co-array" are derived. Finally, for the discrete holes caused by the different coprime expansion factors, the virtual elements is filled at the discontinuous points and establishes the convex optimization model of reconstructing the equivalent received signal of the filling virtual array elements, and combining with multiple signal classification algorithm for DOA estimation. Simulation results demonstrate the rationality of the array structure and effectiveness of the algorithm. © 2021, Editorial Office of Systems Engineering and Electronics. All right reserved.
引用
收藏
页码:2819 / 2827
页数:8
相关论文
共 29 条
  • [1] ZHAO Y B, LIU H W., Overview on MIMO radar, Journal of Data Acquisition and Processing, 33, 3, pp. 389-399, (2018)
  • [2] LIU B B, ERCAN E K, ZHANG J Y, Et al., Angle estimation in MIMO radar using a new sparse representation approach, International Journal of Electronics, 106, 11, pp. 1694-1709, (2019)
  • [3] SHI J P, WEN F Q, AI L, Et al., Angle estimation for bistatic MIMO radar with spatially colored noise, Systems Engineering and Electronics, 43, 6, pp. 1477-1485, (2021)
  • [4] BOUDAHER E, AHMAD F, AMIN M G, Et al., Mutual coupling effect and compensation in non-uniform arrays for direction-of-arrival estimation, Digital Signal Processing, 61, 1, pp. 3-14, (2017)
  • [5] SHI J P, HU G P, ZHANG X F, Et al., Generalized nested array: Optimization for degrees of freedom and mutual coupling, IEEE Communications Letters, 22, 6, pp. 1208-1211, (2018)
  • [6] MOFFET A., Minimum-redundancy linear arrays, IEEE Trans.on Antennas and Propagation, 16, 3, pp. 172-175, (1968)
  • [7] PAL P, VAIDYANATHAN P P., Nested arrays: a novel approach to array processing with enhanced degrees of freedom, IEEE Trans.on Signal Processing, 58, 8, pp. 4167-4181, (2010)
  • [8] VAIDYANATHAN P P, PAL P., Sparse sensing with co-prime samplers and arrays, IEEE Trans.on Signal Processing, 59, 2, pp. 573-586, (2011)
  • [9] CHEN C, VAIDYANATHAN P P., Minimum redundancy MIMO radars, Proc. of the IEEE International Symposium on Circuits Systems (ISCAS), pp. 45-48, (2008)
  • [10] HUANG Y, LIAO G S, LI J, Et al., Sum and difference coarray based MIMO radar array optimization with its application for DOA estimation, Multidimensional System Signal Processing, 28, 4, pp. 1183-1202, (2017)