An Improved MUSIC Algorithm for Two Dimensional Direction Of Arrival Estimation

Xudong WANG; Qian ZHONG; He YAN; Di ZHANG

doi:10.11999/JEIT181090

Volume 41 Issue 9

Sep. 2019

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Xudong WANG, Qian ZHONG, He YAN, Di ZHANG. An Improved MUSIC Algorithm for Two Dimensional Direction Of Arrival Estimation[J]. Journal of Electronics & Information Technology, 2019, 41(9): 2137-2142. doi: 10.11999/JEIT181090

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Xudong WANG, Qian ZHONG, He YAN, Di ZHANG. An Improved MUSIC Algorithm for Two Dimensional Direction Of Arrival Estimation[J]. Journal of Electronics & Information Technology, 2019, 41(9): 2137-2142. doi: 10.11999/JEIT181090

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An Improved MUSIC Algorithm for Two Dimensional Direction Of Arrival Estimation

doi: 10.11999/JEIT181090

College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China

Funds: Aviation Fund (20182007001)

Received Date: 2018-11-26
Rev Recd Date: 2019-03-25

Available Online: 2019-04-19

Publish Date: 2019-09-10

Abstract

Abstract

The MUltiple SIgnal Classification (MUSIC) algorithm is a classical spatial spectrum estimation algorithm. Taking L-shaped array as an example, an improved 2D-MUSIC algorithm is proposed for the problem that 2D-MUSIC algorithm often fails to estimate accurately targets in close proximity among multiple targets when the signal-to-noise ratio is low.The algorithm identifies the target location through spectrum peak search by first performing conjugate recombination on the covariance matrix generated by the classical 2D-MUSIC algorithm, then calculating the mean of sum of square of the recombined one and the original one as the new matrix, whose corresponding noise subspace then weighted by applying appropriate coefficients to obtain a new noise subspace. The computer simulation results show that compared with the 2D-MUSIC algorithm, the improved algorithm performs well on DOA estimation for the targets in close proximity among multiple targets when the received signal has low signal-to-noise ratio, which improves the resolution of 2D-DOA estimation with L-shaped array, with better engineering application value.
- Two dimensional Direction Of Arrival (DOA) estimation,
- L-shaped array,
- Conjugate recombination,
- Weighting

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References(17)

References

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