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

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations


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
Original languageEnglish (US)
Title of host publication2019 27th European Signal Processing Conference (EUSIPCO)
ISBN (Print)9789082797039
StatePublished - Nov 25 2019


Dive into the research topics of 'Realtime 2-D DOA Estimation using Phase-Difference Projection (PDP)'. Together they form a unique fingerprint.

Cite this