Phase Error Correction in Sparse Linear MIMO Radar Based on the Equivalent Phase Center Principle

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Abstract
Multiple-input multiple-output (MIMO) technology is widely used in the field of radar imaging. Array sparse optimization reduces the hardware cost of MIMO radar, while virtual aperture and the equivalent phase center (EPC) principle simplify the radar signal model and reduce the computation and complexity of imaging algorithms. However, the application of sparse array structure and the EPC principle produces a non-negligible phase error, which affects the imaging quality. This paper simplifies the MIMO radar signal model based on the phase center approximation, analyzes the phase error generated by this method, and proposes an improved phase error correction method to solve the problem that the target cannot be well-focused at non-reference distance during imaging. In addition, this paper designs a sparse linear MIMO array with a periodic structure, which reduces the number of transmitting and receiving units, system complexity, and hardware costs. The proposed phase correction method was combined with the wavenumber domain algorithm to simulate and experiment on the designed antenna array, and good experimental results were obtained to verify the effectiveness of the proposed method.
Funding Information
  • National Natural Science Foundation of China (61988102, 61731020, 61971397, 2021QN02Z134, 6233000092)
  • Pearl River Talent Plan (61988102, 61731020, 61971397, 2021QN02Z134, 6233000092)
  • Key projects of the National Natural Science Foundation of China (61988102, 61731020, 61971397, 2021QN02Z134, 6233000092)

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