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Joint Two-Dimensional DOA and Power Estimation Based on DML-ESPRIT Algorithm

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Wireless Communications, Networking and Applications

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 348))

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Abstract

By organically integrating the joint multidimensional parameter estimation ability of deterministic maximum likelihood (DML) estimation criterion and the computation efficiency of estimating signal parameters via rotational invariance techniques (ESPRIT) algorithm, a novel joint two-dimensional DOA (2-D DOA) and power fast estimation algorithm named DML-ESPRIT is proposed. First, based on the special characteristics of double L-shaped array, we introduce the space cone angle to represent the source’s 2-D DOA. This operation successfully converts the multidimensional space searching problem to separate one-dimensional angle estimation. Under the DML estimation criterion, the joint estimation model of parameters such as space cone angle and power is established. Then TLS-ESPRIT method which could avoid the spectrum peak search is used to solve the model. On the premise of keeping estimation precision, the time consumption of DML-ESPRIT algorithm is only about 35 ms on the average. So it has the very good prospect for engineering applications.

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Correspondence to Zheng Luo .

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Luo, Z., Liu, D. (2016). Joint Two-Dimensional DOA and Power Estimation Based on DML-ESPRIT Algorithm. In: Zeng, QA. (eds) Wireless Communications, Networking and Applications. Lecture Notes in Electrical Engineering, vol 348. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2580-5_17

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  • DOI: https://doi.org/10.1007/978-81-322-2580-5_17

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  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-2579-9

  • Online ISBN: 978-81-322-2580-5

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