Abstract
In this paper, the problem of direction of arrival (DOA) estimation is considered in the case of multiple polarized signals impinging on the conformal electromagnetic vector-sensor array (CVA). We focus on modeling the manifold holistically by a new mathematical tool called geometric algebra. Compared with existing methods, the presented one has two main advantages. Firstly, it acquires higher resolution by preserving the orthogonality of the signal components. Secondly, it avoids the cumbersome matrix operations while performing the coordinate transformations, and therefore, has a much lower computational complexity. Simulation results are provided to demonstrate the effectiveness of the proposed algorithm.
Highlights
The direction of arrival (DOA) estimation has received a strong interest in wireless communication systems such as radar, sonar, and mobile systems [1]
The problem of DOA estimation is considered in the case of multiple polarized signals impinging on the conformal vector-sensor array (CVA)
We will combine the electromagnetic vector sensors with the conformal array, and present a unified model based on geometric algebra to estimate the DOAs
Summary
The direction of arrival (DOA) estimation has received a strong interest in wireless communication systems such as radar, sonar, and mobile systems [1] In this correspondence, the problem of DOA estimation is considered in the case of multiple polarized signals impinging on the conformal vector-sensor array (CVA). Meng et al EURASIP Journal on Advances in Signal Processing (2017) 2017:64 conformal array since the pattern is assumed to be a scalar and the same for each element In this correspondence, we will combine the electromagnetic vector sensors with the conformal array, and present a unified model based on geometric algebra to estimate the DOAs. The proposed technique in this paper is regarded as a generalization of the one presented in [10] to the case of the conformal arrays. Rm3 n stands for the m × n real matrix in 3-D space and E{⋅} denotes the expectation operator
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