Journal on Communications ›› 2014, Vol. 35 ›› Issue (2): 137-145.doi: 10.3969/j.issn.1000-436x.2014.02.018

• academic paper • Previous Articles     Next Articles

Root-MUSIC-based joint TOA and DOA estimation in IR-UWB

Fang-qiu WANG1,Xiao-fei ZHANG1,2,Fei WANG1   

  1. 1 College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China;
    2 Key Laboratory of Radar Imaging and Microwave Photonics, Ministry of Education, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
  • Online:2014-02-25 Published:2017-07-25
  • Supported by:
    The National Natural Science Foundation of China;Jiangsu Planned Projects for Postdoctoral Re-search Funds;China Postdoctoral Science Foundation;Open Project of Key Laboratory of Underwater Acoustic Communication and Marine Information Technology (Xiamen University);Hubei Key Laboratory of Intelligent Wire1ess Communications;Open Project of Key Laboratory of Nondestructive Testing (Nanchang Hangkong University);The Project Funded by the Priority Academic Program Development of Jiangsu Higher Education Institutions;The Fundamental Re-search Funds for the Central Universities;The Foundation of Graduate Innovation Center on NUAA

Abstract:

The parameters can be estimated via two-dimensional (2D) multiple signal classification (MUSIC) algorithm, in which the two-dimensional spectral peak searching, however, requires much higher computational complexity. Aiming at this, an algorithm of root-MUSIC-based joint TOA and DOA estimation in IR-UWB system was proposed. After mod-eling the received signals in the frequency-domain, the algorithm estimated the TOA parameters first, and then the DOA parameters via the difference of the TOA was obtained, thereby the joint TOA and DOA estimation was gained. This al-gorithm does not need spectral peak searching and can obtain the closed-form solutions of the TOAs and DOAs. More-over, it can get the parameters paired. In addition, the error variances of the estimated parameters were derived. The simulation results show that the proposed algorithm has much better performance than matrix pencil algorithm, propaga-tor method and estimation of signal parameters via rotational invariance techniques (ESPRIT) algorithm, and has almost the same performance as 2D-MUSIC algorithm, while the complexity of the proposed algorithm has far lower than that of 2D-MUSIC algorithm.

Key words: time-of-arrival, direction-of-arrival, impulse radio ultra wideband, multiple signal classification

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