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A PE-MUSIC Algorithm for Sparse Array in MIMO Radar

Author

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  • Yucai Pang
  • Song Liu
  • Yun He

Abstract

Larger array aperture is provided by sparse arrays than uniform ones, which can improve the angle estimation resolution and reduce the cost of system evidently. However, manifold ambiguity is introduced due to the array sparsity. In this paper, a Power Estimation Multiple-Signal Classification (PE-MUSIC) algorithm is proposed to solve the manifold ambiguity of arbitrary sparse arrays for uncorrelated sources in Multiple-Input Multiple-Output (MIMO) radar. First, the paired direction of departure (DOD) and direction of arrival (DOA) are obtained for all targets by MUSIC algorithm, including the true and spurious ones; then, the well-known Davidon–Fletcher–Powell (DFP) algorithm is applied to estimate all targets’ power values, among which the value of a spurious target trends to zero. Therefore, the ambiguity of sparse array in MIMO radar can be cleared. Simulation results verify the effectiveness and feasibility of the method.

Suggested Citation

  • Yucai Pang & Song Liu & Yun He, 2021. "A PE-MUSIC Algorithm for Sparse Array in MIMO Radar," Mathematical Problems in Engineering, Hindawi, vol. 2021, pages 1-7, February.
    • Handle: RePEc:hin:jnlmpe:6647747
    DOI: 10.1155/2021/6647747
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