Systems Engineering and Electronics ›› 2025, Vol. 47 ›› Issue (7): 2077-2085.doi: 10.12305/j.issn.1001-506X.2025.07.01

• Electronic Technology •    

Distributed inter-subarray gain and phase error calibration algorithm based on average consensus

Qi SONG1,2, Xiangtian MENG1, Bingxia CAO1,*, Minghui SHA3, Yingshen ZHU3, Fenggang YAN1   

  1. 1. School of Information Science and Engineering, Harbin Institute of Technology at Weihai, Weihai 264200, China
    2. School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin 150001, China
    3. Beijing Institute of Radio Measurement, Beijing 100854, China
  • Received:2024-07-08 Online:2025-07-16 Published:2025-07-22
  • Contact: Bingxia CAO

Abstract:

With the advantages of low communication cost, high system stability, and minimal arithmetic requirement, the distributed processing framework is widely developed in the field of array signal processing. However, the traditional error calibration method are no longer applicable because of lacking of the fusion center (FC). Thus, an active calibration algorithm and a self-calibration algorithm are proposed for calibrating the inter-subarray gain and phase errors in this framework, respectively. Firstly, based on average consensus theory, the active calibration is achieved by using covariance matrixes of the subarray nodes and conjugate gradient (CG) algorithm. Secondly, the direction of arrival estimation (DOA) can be obtained by utilizing the Hadamard product of receiving data, which makes the self-calibration achieved for inter-subarray gain and phase errors in distributed structure. The simulation results demonstrate that the distributed calibration for gain and phase error can be achieved effectively by the proposed algorithm and its performance is independent of the inter-subarray gain and phase error.

Key words: distributed calibration, gain and phase error, average consensus, direction-of arrival (DOA) estimation

CLC Number: 

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