A Structure-Aware DOA Estimation Method for Sources with Short Known Waveforms

Yang Yang Dong; Chunxi Dong; Wei Liu; Ming Ming Liu; Zhengzhao Tang

doi:10.1109/ACCESS.2018.2881684

A Structure-Aware DOA Estimation Method for Sources with Short Known Waveforms

Yang Yang Dong, Chunxi Dong, Wei Liu, Ming Ming Liu, Zhengzhao Tang

Research output: Journal article publication › Journal article › Academic research › peer-review

3 Citations (Scopus)

Abstract

For direction of arrival (DOA) estimation with known waveform information, with a larger number of snapshots and a longer duration of the known waveforms, the required storage space for hardware implementation will increase. To save storage resources and also reduce the response time of the array system, the DOA estimation problem with short known waveforms in snapshot size is studied in this paper. We first establish the connection between DOA estimation for known waveform sources and the structured least squares (SLS) technique utilizing a potential rotation invariant property. Next, a constraint is formulated and then transformed into its real and imaginary parts to satisfy the requirements of SLS, and the resultant SLS optimization problem is solved iteratively. Simulation results show that the proposed method has a better performance than the existing DEML method for small numbers of snapshots.

Original language	English
Article number	8537892
Pages (from-to)	71271-71278
Number of pages	8
Journal	IEEE Access
Volume	6
DOIs	https://doi.org/10.1109/ACCESS.2018.2881684
Publication status	Published - Nov 2018

Keywords

Direction of arrival estimation
known waveform
short snapshot size
structured least squares

ASJC Scopus subject areas

General Computer Science
General Materials Science
General Engineering

More information

10.1109/ACCESS.2018.2881684

Cite this

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title = "A Structure-Aware DOA Estimation Method for Sources with Short Known Waveforms",

abstract = "For direction of arrival (DOA) estimation with known waveform information, with a larger number of snapshots and a longer duration of the known waveforms, the required storage space for hardware implementation will increase. To save storage resources and also reduce the response time of the array system, the DOA estimation problem with short known waveforms in snapshot size is studied in this paper. We first establish the connection between DOA estimation for known waveform sources and the structured least squares (SLS) technique utilizing a potential rotation invariant property. Next, a constraint is formulated and then transformed into its real and imaginary parts to satisfy the requirements of SLS, and the resultant SLS optimization problem is solved iteratively. Simulation results show that the proposed method has a better performance than the existing DEML method for small numbers of snapshots.",

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AU - Dong, Yang Yang

AU - Dong, Chunxi

AU - Liu, Wei

AU - Liu, Ming Ming

AU - Tang, Zhengzhao

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KW - Direction of arrival estimation

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A Structure-Aware DOA Estimation Method for Sources with Short Known Waveforms

Abstract

Keywords

ASJC Scopus subject areas

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