Subspace-based two-dimensional direction estimation and tracking of multiple targets

Guangmin Wang; Jingmin Xin; Jiasong Wang; Nanning Zheng; Akira Sano

doi:10.1109/TAES.2014.130018

Subspace-based two-dimensional direction estimation and tracking of multiple targets

Guangmin Wang
, Jingmin Xin
, Jiasong Wang
, Nanning Zheng
, Akira Sano

College of Artificial Intelligence and Robotics

Research output: Contribution to journal › Article › peer-review

39 Scopus citations

Abstract

This paper deals with the problem of tracking the two-dimensional (2-D) direction-of-arrivals (DOAs) of multiple moving targets with crossover points on their trajectories, and we propose a new computationally efficient cross-correlation based 2-D DOA estimation with automatic pair-matching (CODEC) method for noncoherent narrowband signals impinging on the L-shaped sensor array structured by two uniform linear arrays (ULAs) with omnidirectional sensors. The effectiveness of the proposed method and the theoretical analysis are substantiated through numerical examples.

Original language	English
Article number	7126191
Pages (from-to)	1386-1402
Number of pages	17
Journal	IEEE Transactions on Aerospace and Electronic Systems
Volume	51
Issue number	2
DOIs	https://doi.org/10.1109/TAES.2014.130018
State	Published - 1 Apr 2015

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abstract = "This paper deals with the problem of tracking the two-dimensional (2-D) direction-of-arrivals (DOAs) of multiple moving targets with crossover points on their trajectories, and we propose a new computationally efficient cross-correlation based 2-D DOA estimation with automatic pair-matching (CODEC) method for noncoherent narrowband signals impinging on the L-shaped sensor array structured by two uniform linear arrays (ULAs) with omnidirectional sensors. The effectiveness of the proposed method and the theoretical analysis are substantiated through numerical examples.",

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AU - Wang, Jiasong

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AU - Sano, Akira

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Subspace-based two-dimensional direction estimation and tracking of multiple targets

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