Remote Sensing (Jul 2021)

Calibration Method of Array Errors for Wideband MIMO Imaging Radar Based on Multiple Prominent Targets

  • Zheng Zhao,
  • Weiming Tian,
  • Yunkai Deng,
  • Cheng Hu,
  • Tao Zeng

DOI
https://doi.org/10.3390/rs13152997
Journal volume & issue
Vol. 13, no. 15
p. 2997

Abstract

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Wideband multiple-input-multiple-output (MIMO) imaging radar can achieve high-resolution imaging with a specific multi-antenna structure. However, its imaging performance is severely affected by the array errors, including the inter-channel errors and the position errors of all the transmitting and receiving elements (TEs/REs). Conventional calibration methods are suitable for the narrow-band signal model, and cannot separate the element position errors from the array errors. This paper proposes a method for estimating and compensating the array errors of wideband MIMO imaging radar based on multiple prominent targets. Firstly, a high-precision target position estimation method is proposed to acquire the prominent targets’ positions without other equipment. Secondly, the inter-channel amplitude and delay errors are estimated by solving an equation-constrained least square problem. After this, the element position errors are estimated with the genetic algorithm to eliminate the spatial-variant error phase. Finally, the feasibility and correctness of this method are validated with both simulated and experimental datasets.

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