Range and Angle Estimation for Multi-Carrier FDA Radar with a Single Snapshot via ADMM

Pengwei Yan, Chuan Huang*, Yaowen Li, Yang Li, Yu Liu, You He

*Corresponding author for this work

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

Abstract

The multi-carrier frequency diverse array (FDA) radar enables accurate range and angle estimation with a single snapshot by employing the atomic norm minimization (ANM) method. However, solving the corresponding optimization problem with conventional CVX convex optimization toolbox is computationally demanding. To cope with this, in this paper, we develop and derive an implementation of the ANM method using the alternating direction method of multipliers (ADMM) for the multi-carrier FDA. This approach decomposes the optimization problem into multiple subproblems, iteratively updating the unknown parameters with closed-form solutions. Compared to the ANM-CVX algorithm, the proposed ANM-ADMM algorithm can significantly enhance computational efficiency while achieving similar estimation accuracy. The effectiveness is demonstrated by simulation results.

Original languageEnglish
Title of host publicationIEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798331515669
DOIs
Publication statusPublished - 2024
Event2nd IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024 - Zhuhai, China
Duration: 22 Nov 202424 Nov 2024

Publication series

NameIEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024

Conference

Conference2nd IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024
Country/TerritoryChina
CityZhuhai
Period22/11/2424/11/24

Keywords

  • Alternating direction method of multipliers (ADMM)
  • Atomic norm minimization (ANM)
  • Multi-carrier FDA
  • Range and angle estimation

Fingerprint

Dive into the research topics of 'Range and Angle Estimation for Multi-Carrier FDA Radar with a Single Snapshot via ADMM'. Together they form a unique fingerprint.

Cite this