DOA Estimation Algorithm of Coherent Signals for Cylindrical Conformal Arrays based on Fourth-Order Cumulation

Xiaofeng Gao, Ping Li*, Hongyun Zhang, Lin Zhang, Jian Sui

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this paper, an effective direction of arrival (DOA) estimation algorithm of coherent signals for cylindrical conformal arrays (CCAs) based on fourth-order cumulation is proposed. Affected by the shadow effect, the CCAs is divided into several subarrays to obtain the output vector without zero element. To mitigate the element loss of subarray, an improved interpolation method is utilized to transform the directional subarray into the virtual nested arrays. Then, the full rank covariance matrix is constructed using the fourth-order cumulation of virtual nested arrays, which realize the decoherence of cohetent signals. Finally, the unitary estimation of the signal parameters via rotational invariance techniques (ESPRIT) is conducted on the matrix to obtain the angle of incident signals. Simulation results demonstrate the validity of proposed algorithm.

Original languageEnglish
Title of host publicationProceedings of the 2022 4th International Conference on Video, Signal and Image Processing, VSIP 2022
PublisherAssociation for Computing Machinery
Pages158-163
Number of pages6
ISBN (Electronic)9781450397810
DOIs
Publication statusPublished - 25 Nov 2022
Event4th International Conference on Video, Signal and Image Processing, VSIP 2022 - Shanghai, China
Duration: 25 Nov 202227 Nov 2022

Publication series

NameACM International Conference Proceeding Series

Conference

Conference4th International Conference on Video, Signal and Image Processing, VSIP 2022
Country/TerritoryChina
CityShanghai
Period25/11/2227/11/22

Keywords

  • cylindrical conformal arrays
  • direction of arrival (DOA)
  • fourth-order cumulation
  • virtual nested arrays

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