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Two Dimension DOA ESPRIT Algorithm Based on Parallel Coprime Arrays and Complementary Sequence in MIMO Communication System

conference contribution
posted on 25.09.2020 by Shufeng Li, Yuan Zhang, Robert Edwards
In this paper, a novel two dimension (2-D) direction of arrival (DOA) estimation method based on complementary sequence and ESPRIT algorithm under parallel coprime Arrays is proposed for multiple input and multiple output (MIMO) system. Unlike the traditional method, the complementary sequence is used as the transmitted far-field signals. Due to the orthogonality of the complementary sequence, the DOA estimation performance can be improved. Based on the parallel coprime array, the novel ESPRIT algorithm can be used to acquire accurate DOA estimation by searching the coincide values from ambiguous estimation results. In addition, we give the experimental results and show that the proposed algorithms can obtain higher DOA estimation resolution and distinguish more targets.

Funding

Fundamental Research Funds for the Central Universities.

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Published in

2019 IEEE International Conference on Signal, Information and Data Processing (ICSIDP)

Source

2019 IEEE International Conference on Signal, Information and Data Processing (ICSIDP)

Publisher

IEEE

Version

VoR (Version of Record)

Rights holder

© IEEE

Publisher statement

© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Acceptance date

02/09/2019

Publication date

2020-08-21

Copyright date

2019

ISBN

9781728123455

Language

en

Location

Chongqing, China,

Event dates

11th December 2019 - 13th December 2019

Depositor

Dr Robert Edwards. Deposit date: 23 September 2020

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