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Conference Paper
Low-Complexity Joint DOA/TOA Estimation Algorithm for Mobile Location
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- Authors
- Sooyeob Jung, Sujin Kim, Na Young Kim, Joonhyuk Kang, Youngok Kim
- Issue Date
- 2011-03
- Citation
- Wireless Communications and Networking Conference (WCNC) 2011, pp.581-586
- Publisher
- IEEE
- Language
- English
- Type
- Conference Paper
- Abstract
- In this paper, we present a low-complexity joint estimation algorithm of the direction of arrival (DOA) and time of arrival (TOA) for mobile location system, which is based on a multiple signal classification (MUSIC) algorithm. To reduce the computational overhead of conventional joint DOA/TOA estimation algorithms, the proposed approach employs two complexity reduction schemes: separation of the signal vector for individually extracting DOA/TOA and pseudo-spectrum computation with discrete Fourier transform (DFT). In addition, the loss of accuracy caused by the separation process is compensated by summing multiple pseudo-spectrums. Compared with the conventional two-dimensional (2-D) MUSIC algorithm, the proposed low-complexity algorithm not only substantially reduces the computational complexity but also provides better performance, especially in a low signal-to-noise ratio (SNR). The effectiveness of the proposed algorithm is verified by simulation results. © 2011 IEEE.
- KSP Keywords
- Computational complexity, Direction of arrival(DoA), Joint Estimation, Location system, Low-complexity algorithm, Mobile location, Multiple signal classification (MUSIC) algorithm, Signal noise ratio(SNR), Signal-to-Noise, ToA estimation, complexity reduction