51. Reduced-rank joint estimation of DOA with mutual coupling
- Author
-
Nann Win Moe Thet, Amit Kachroo, and Mehmet Kemal Ozdemir
- Subjects
Coupling ,Joint İterative Estimation Methods ,020301 aerospace & aeronautics ,Direction-Of-Arrival (BOA) Estimation ,Mean squared error ,Rank (linear algebra) ,Covariance matrix ,Auto-Calibration ,Array Mutual Coupling ,020206 networking & telecommunications ,02 engineering and technology ,Reduced-Rank Methods ,Linear array ,0203 mechanical engineering ,0202 electrical engineering, electronic engineering, information engineering ,Signal processing algorithms ,Joint (audio engineering) ,Algorithm ,Subspace topology ,Mathematics - Abstract
In this paper, an extended reduced-rank direction-of-arrival (DOA) estimation with unknown mutual coupling in uniform linear array (ULA) structure is presented. The proposed method is based on the joint iterative subspace optimization (JIO) and the auto-calibration of mutual coupling. Given an initial coupling vector, reduced-rank correlation matrix is estimated with the JIO approach, followed by iterative joint estimation of DOA and coupling with an auto-calibration algorithm. Simulation results show that both the proposed method and the existing auto-calibration method have similar performance in terms of DOA root mean square error, while the complexity of the proposed method is much lower than that of the auto-calibration approach due to the reduced rank.
- Published
- 2018