Doa Tracking Via Signal-Subspace Projector Update
Jie Zhuang, Tianhan Tan, Daolin Chen, Jiancheng Kang
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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.