Realtime 2-D DOA Estimation using Phase-Difference Projection (PDP)

Type
Conference Paper

Authors
Chen, Hui
Ballal, Tarig
Liu, Xing
Al-Naffouri, Tareq Y.

KAUST Department
Electrical Engineering Program
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Online Publication Date
2019-11-25

Print Publication Date
2019-09

Date
2019-11-25

Abstract
Estimating the direction of arrival (DOA) information of a signal is important for communications, localization and navigation systems. Time-delay based methods are popular DOA algorithms that can estimate DOA with a minimal number of receivers. Time delay can be measured with subsample accuracy using phase-difference based methods. Phase-wrapping represents a major challenge for time delay estimation that occurs when inter-sensor spacing is large. Several methods exist for phase-unwrapping; the most successful methods are those search methods, which are time-consuming and do not lend themselves to theoretical analysis. In this paper, we present a phase-difference projection (PDP) method for DOA estimation which is capable of delivering more accurate results with reduced computational complexity. The proposed method has been tested and compared with several benchmark algorithms in both simulations and experiments. The results show that, at a signal-to-noise ratio (SNR) of -18 dB, using the proposed PDP algorithm, the percentage of the DOA estimates with errors smaller than <5° is 54%, and it reaches 100% at SNR =-7dB. This performance is not matched by the benchmark methods. For the utility test, we implemented this algorithm to realize an ultrasound-based air-mouse and it achieves satisfactory user experiences when using Google Maps, or playing some interactive games.

Citation
Chen, H., Ballal, T., Liu, X., & Al-Naffouri, T. Y. (2019). Realtime 2-D DOA Estimation using Phase-Difference Projection (PDP). 2019 27th European Signal Processing Conference (EUSIPCO). doi:10.23919/eusipco.2019.8902804

Publisher
Institute of Electrical and Electronics Engineers (IEEE)

Conference/Event Name
2019 27th European Signal Processing Conference (EUSIPCO)

DOI
10.23919/EUSIPCO.2019.8902804

Additional Links
https://ieeexplore.ieee.org/document/8902804/https://ieeexplore.ieee.org/document/8902804/https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8902804

Permanent link to this record
http://hdl.handle.net/10754/660456
Collections
Conference Papers
Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division
Electrical and Computer Engineering Program