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DOA Estimation Based on BNF Constraints and Low-Order Processing in Impulsive Noise

  • 2025
  • OriginalPaper
  • Chapter
Published in:
Authors
Weidong Wang

Weidong Wang

  • School of Physics and Electronic Information Engineering, Henan Polytechnic University, Jiaozuo, China
Yahui Zhang

Yahui Zhang

  • School of Physics and Electronic Information Engineering, Henan Polytechnic University, Jiaozuo, China
Yongqing Zhang

Yongqing Zhang

  • School of Physics and Electronic Information Engineering, Henan Polytechnic University, Jiaozuo, China
Xingwang Li

Xingwang Li

  • School of Physics and Electronic Information Engineering, Henan Polytechnic University, Jiaozuo, China
Hui Li

Hui Li

  • School of Physics and Electronic Information Engineering, Henan Polytechnic University, Jiaozuo, China
Zhiqiang Liu Corresponding author

Corresponding author Zhiqiang Liu

  • School of Computer Science and Technology, Henan Polytechnic University, Jiaozuo, China
Corresponding author liuzq@hpu.edu.cn
Published in
Proceedings of the 2nd International Conference on Networks, Communications and Intelligent Computing (NCIC 2024)
Publisher
Springer Nature Singapore

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Abstract

This chapter delves into the challenges of direction of arrival (DOA) estimation in impulsive noise environments using acoustic vector sensor arrays (AVSAs). It introduces a novel sparse iterative algorithm based on bounded nonlinear function (BNF) and low-order processing (PNBSIA) to enhance robustness and accuracy. The text explores the limitations of existing algorithms in suppressing impulsive noise and presents a detailed comparison with methods like FLOM-MUSIC, PFLOM-MUSIC, BNC-MUSIC, and IWPN-SIA. Simulation results demonstrate the superior performance of the PNBSIA algorithm in achieving stable DOA estimation with small generalized signal-to-noise ratios (GSNR) and snapshots. The chapter also discusses the impact of GSNR and snapshot size on the performance of various algorithms, providing valuable insights for professionals in the field.
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previous chapter Edge Computing Resource Optimization for UAV Collaboration in Sensing, Computing and Communication Networks
next chapter Routing Delay Reduction Strategies for LEO Distributed Computing
Title
DOA Estimation Based on BNF Constraints and Low-Order Processing in Impulsive Noise
Authors
Weidong Wang
Yahui Zhang
Yongqing Zhang
Xingwang Li
Hui Li
Zhiqiang Liu
Copyright Year
2025
Publisher
Springer Nature Singapore
Book
Proceedings of the 2nd International Conference on Networks, Communications and Intelligent Computing (NCIC 2024)

Print ISBN: 978-981-9650-05-7

Electronic ISBN: 978-981-9650-06-4

Copyright Year: 2025

DOI
https://doi.org/10.1007/978-981-96-5006-4_104
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