13 / 2019-11-30 06:10:00
A general ESPRIT method for noncircularity-based incoherently distributed sources
Draft Accepted
Hua Chen / Ningbo University, China
Yonghong Liu / Ningbo University, China
Qing Wang / Tianjin University, China
Wei Liu / University of Sheffield, United Kingdom (Great Britain)
Zongju Peng / Ningbo University, China
Gang Wang / Ningbo University, China
In this paper, a reduced-rank direction-of-arrival (DOA) estimation algorithm for incoherently distributed (ID) noncircular sources based on a uniform linear array (ULA) is proposed. First the noncircularity property of the signal is utilized to establish an extended generalized array manifold (GAM) model based on the first-order Taylor series approximation. Then, the central DOA of source signals is obtained based on the generalized shift invariance property of the array manifold and the reduced-rank principle. Compared with the algorithm without exploiting the noncircularity information, the proposed algorithm can achieve a higher accuracy and handle more sources. Simulation results are provided to demonstrate the performance of the proposed algorithm.
Important Date
  • Conference Date

    Jun 08

    2020

    to

    Jun 11

    2020

  • Jan 12 2020

    Draft paper submission deadline

  • Apr 15 2020

    Early Bird Registration

  • Dec 31 2020

    Registration deadline

Sponsored By
IEEE Signal Processing Society
Organized By
Zhejiang University
Contact Information