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Beam-space spatial spectrum reconstruction under unknown stationary near-field interference: Algorithm design and
Jichen Chu1, Lei Cheng1, Wen Xu2
1College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China.
Abstract:
In acoustic array signal processing, spatial spectrum estimation and the corresponding direction-of-arrival estimation are sometimes affected by stationary near-field interferences, presenting a considerable challenge for the target detection. To address the challenge, this paper proposes a beam-space spatial spectrum reconstruction algorithm. The proposed algorithm overcomes the limitations of common spatial spectrum estimation algorithms designed for near-field interference scenarios, which require knowledge of the near-field interference array manifold. The robustness and efficacy of the proposed algorithm under strong stationary near-field interference are confirmed through the analysis of simulated and real-life experimental data.
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