A Structure-Aware DOA Estimation Method for Sources With Short Known Waveforms
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 sy...
Main Authors: | , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2018-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8537892/ |
id |
doaj-cc472157b0514d3eb0059bcff7f5a8d7 |
---|---|
record_format |
Article |
spelling |
doaj-cc472157b0514d3eb0059bcff7f5a8d72021-03-29T21:34:28ZengIEEEIEEE Access2169-35362018-01-016712717127810.1109/ACCESS.2018.28816848537892A Structure-Aware DOA Estimation Method for Sources With Short Known WaveformsYang-Yang Dong0https://orcid.org/0000-0003-1727-1651Chunxi Dong1Wei Liu2https://orcid.org/0000-0003-3537-9324Ming-Ming Liu3Zhengzhao Tang4School of Electronic Engineering, Xidian University, Xi’an, ChinaSchool of Electronic Engineering, Xidian University, Xi’an, ChinaDepartment of Electronic and Electrical Engineering, University of Shefield, Shefield, U.K.School of Electronic Engineering, Xidian University, Xi’an, ChinaSchool of Electronic Engineering, Xidian University, Xi’an, ChinaFor 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.https://ieeexplore.ieee.org/document/8537892/Direction of arrival estimationknown waveformshort snapshot sizestructured least squares |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Yang-Yang Dong Chunxi Dong Wei Liu Ming-Ming Liu Zhengzhao Tang |
spellingShingle |
Yang-Yang Dong Chunxi Dong Wei Liu Ming-Ming Liu Zhengzhao Tang A Structure-Aware DOA Estimation Method for Sources With Short Known Waveforms IEEE Access Direction of arrival estimation known waveform short snapshot size structured least squares |
author_facet |
Yang-Yang Dong Chunxi Dong Wei Liu Ming-Ming Liu Zhengzhao Tang |
author_sort |
Yang-Yang Dong |
title |
A Structure-Aware DOA Estimation Method for Sources With Short Known Waveforms |
title_short |
A Structure-Aware DOA Estimation Method for Sources With Short Known Waveforms |
title_full |
A Structure-Aware DOA Estimation Method for Sources With Short Known Waveforms |
title_fullStr |
A Structure-Aware DOA Estimation Method for Sources With Short Known Waveforms |
title_full_unstemmed |
A Structure-Aware DOA Estimation Method for Sources With Short Known Waveforms |
title_sort |
structure-aware doa estimation method for sources with short known waveforms |
publisher |
IEEE |
series |
IEEE Access |
issn |
2169-3536 |
publishDate |
2018-01-01 |
description |
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. |
topic |
Direction of arrival estimation known waveform short snapshot size structured least squares |
url |
https://ieeexplore.ieee.org/document/8537892/ |
work_keys_str_mv |
AT yangyangdong astructureawaredoaestimationmethodforsourceswithshortknownwaveforms AT chunxidong astructureawaredoaestimationmethodforsourceswithshortknownwaveforms AT weiliu astructureawaredoaestimationmethodforsourceswithshortknownwaveforms AT mingmingliu astructureawaredoaestimationmethodforsourceswithshortknownwaveforms AT zhengzhaotang astructureawaredoaestimationmethodforsourceswithshortknownwaveforms AT yangyangdong structureawaredoaestimationmethodforsourceswithshortknownwaveforms AT chunxidong structureawaredoaestimationmethodforsourceswithshortknownwaveforms AT weiliu structureawaredoaestimationmethodforsourceswithshortknownwaveforms AT mingmingliu structureawaredoaestimationmethodforsourceswithshortknownwaveforms AT zhengzhaotang structureawaredoaestimationmethodforsourceswithshortknownwaveforms |
_version_ |
1724192692553908224 |