DOA Tracking Via Signal-Subspace Projector Update

Jie Zhuang; Tianhan Tan; Daolin Chen; Jiancheng Kang

ICASSP 2020accepted0 citations

DOA Tracking Via Signal-Subspace Projector Update

Jie Zhuang, Tianhan Tan, Daolin Chen, Jiancheng Kang

Abstract

We develop a novel direction-of-arrival (DOA) tracking method in which we directly operate the signal-subspace projector instead of tracking the subspace eigenbasis. In each time frame, we employ a multidimensional subspace fitting approach to track the signal-subspace projector and the DOA measurements can be obtained as a byproduct. Then these measurements are fed into a Kalman filter to produce the refined DOA estimations. Numerical results demonstrate the superior performance of the proposed tracking method relative to the PAST-based methods.

BibTeX

@inproceedings{icassp2020_doatrackingviasi,
  title = {DOA Tracking Via Signal-Subspace Projector Update},
  author = {Jie Zhuang and Tianhan Tan and Daolin Chen and Jiancheng Kang},
  booktitle = {ICASSP 2020},
  year = {2020}
}