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RIS-Aided Monostatic Radar for NLOS Target DOA Estimation Based on Steering Vector Decoupling
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DOI：10.1016/j.sigpro.2026.110685.png)
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Abstract
En 中文
In urban environments, targets are often located in non-line-of-sight (NLOS) regions of the radar, which makes conventional direction of arrival (DOA) estimation methods ineffective. Reconfigurable intelligent surface (RIS), with its capability of regulating electromagnetic wave propagation, can establish a virtual line of sight (LOS) path between radar and targets, offering a viable solution for NLOS target detection. However, when the signal is reflected by the RIS and received by the radar, the echo becomes a superposition of the signals reflected by each element of the RIS, in which the phase information of the target steering vector is jointly accumulated, making it difficult to extract angle information directly. To solve this problem, an RIS-aided monostatic radar DOA estimation method based on steering vector decoupling is proposed. First, RIS phase shift vectors are designed to perform spatial scanning, thereby acquiring echo data from different beam directions. Matrix operations are then employed to decouple the mixing effect introduced by the RIS and to recover the outer-product matrix of the target steering vector. Subsequently, the Root-MUSIC algorithm is applied to achieve high resolution angle estimation. Simulation results demonstrate that the proposed method significantly improves the angle estimation accuracy in typical NLOS scenarios.
Keywords:
RIS-aided radar
NLOS target detection
direction of arrival estimation
steering vector decoupling
Root-MUSIC algorithm
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