Two-dimensional DOA Estimation for Coherently Distributed Noncircular Sources Using Rank Reduction Estimator

In this paper, we propose a direction-finding algorithm for coherently distributed noncircular sources using two parallel linear arrays. First, we establish the relation between the generalized array manifolds of the two linear sub-arrays. Secondly, taking advantage of non-circularity properties of noncircular signal, we use the receiving data and it’s conjugate to extend observation vector. Thirdly, the theory of rank reduction estimator (RARE) is used to estimate central direction of arrival (DOA) and non-circularity phase. The algorithm has good performance in low signal-to-noise ratio (SNR). Moreover, the sensor arrays are extended to estimate more DOAs. Computer simulations are shown to verify the efficacy of the proposed algorithm. It can also estimate the 2D DOA independently of deterministic angular signal distribution function.

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