Spatial Smoothing PAST Algorithm for DOA Tracking Using Difference Coarray

Zhi Zheng*, Yixiao Huang, Wen-Qin Wang, Hing Cheung So

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

37 Citations (Scopus)

Abstract

In this letter, we devise a subspace updating algorithm for tracking directions-of-arrival (DOAs) using the difference coarray of a sparse array. Our solution is based on the projection approximation subspace tracking (PAST) framework, where we design new cost function and iterative process via spatial smoothing of the difference coarray output signal. Since the proposed spatial smoothing PAST (SS-PAST) algorithm exploits the aperture of the difference coarray, it attains higher DOA tracking accuracy than the conventional PAST method operating in a uniform linear array. Simulation results demonstrate the effectiveness of the SS-PAST algorithm.
Original languageEnglish
Article number8844823
Pages (from-to)1623-1627
JournalIEEE Signal Processing Letters
Volume26
Issue number11
Online published19 Sept 2019
DOIs
Publication statusPublished - Nov 2019

Research Keywords

  • difference coarray
  • DOA tracking
  • PAST
  • SS-PAST
  • subspace tracking

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