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Direct Position Determination of Noncircular Sources with Multiple Nested Arrays via Weighted Subspace Data Fusion

Author

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  • Yang Qian
  • Xinlei Shi
  • Haowei Zeng
  • Xudong Dong
  • Junpeng Shi

Abstract

Direct position determination (DPD) of noncircular (NC) sources for multiple nested arrays (NA) is researched in this study. For noncircular sources, the dimension reduction method is used to decrease the computing complexity and remove the noncircular phase. Furthermore, nested array and noncircular sources extend spatial degree of freedom. Due to inferior stability and noise susceptibility of original algorithm, we propose SNR weighted subspace data fusion (W-SDF) algorithm. Each observation station places a nested array, spatial smoothing technology, and sum and difference co-array are used to deal with the nested array. Simulation results show that under nested array and noncircular sources, the proposed W-SDF algorithm has decreased the complexity of the algorithm and improved the location accuracy, degree of freedom, and resolution.

Suggested Citation

  • Yang Qian & Xinlei Shi & Haowei Zeng & Xudong Dong & Junpeng Shi, 2022. "Direct Position Determination of Noncircular Sources with Multiple Nested Arrays via Weighted Subspace Data Fusion," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-12, September.
    • Handle: RePEc:hin:jnlmpe:9982817
    DOI: 10.1155/2022/9982817
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