Cramér-Rao Bound for Generalized Multi-Level Prime Array with and without Compression

Saleh A. Alawsh*, Ali H. Muqaibel

*Corresponding author for this work

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

Abstract

Sparse antenna arrays like multi-level prime arrays (MLPA) and MLPA with compressed subarray (MLPAC) use multiple uniform linear subarrays where the number of elements in the subarrays is pairwise coprime integer. Both configurations have large degrees of freedom (DOF), i.e. large number of consecutive lags and few/or no holes in the difference coarray. MLPA and MLPAC require a small aperture size compared with nested and coprime arrays. This paper derives the Cramér-Rao bound (CRB) of the MLPA and MLPAC based on the second order difference coarray, when the number of estimated sources is larger than the number of antenna elements. Simulation results confirm the derived CRB using MUSIC algorithm.

Original languageEnglish
Title of host publication2024 IEEE International Mediterranean Conference on Communications and Networking, MeditCom 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages518-522
Number of pages5
ISBN (Electronic)9798350309485
DOIs
StatePublished - 2024
Event2024 IEEE International Mediterranean Conference on Communications and Networking, MeditCom 2024 - Madrid, Spain
Duration: 8 Jul 202411 Jul 2024

Publication series

Name2024 IEEE International Mediterranean Conference on Communications and Networking, MeditCom 2024

Conference

Conference2024 IEEE International Mediterranean Conference on Communications and Networking, MeditCom 2024
Country/TerritorySpain
CityMadrid
Period8/07/2411/07/24

Bibliographical note

Publisher Copyright:
© 2024 IEEE.

Keywords

  • Degrees of freedom
  • Difference coarray
  • Direction-of-arrival estimation
  • Multi-level prime array
  • Multi-level prime array with compressed subarray

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing
  • Information Systems and Management
  • Control and Optimization
  • Modeling and Simulation

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