摘要 : Building layout reconstruction (BLR) is a prominent research topic in the field of through-the-wall radar (TWR) and wireless perception. Inspired by computed tomography (CT), the transmit–receive separated dual-bistatic radar syst... 展开 Building layout reconstruction (BLR) is a prominent research topic in the field of through-the-wall radar (TWR) and wireless perception. Inspired by computed tomography (CT), the transmit–receive separated dual-bistatic radar system utilizes electromagnetic (EM) wave transmission signals to perform BLR. However, existing researches significantly rely on signal frequency bandwidth resources. Moreover, state-of-the-art researches only estimate the time delay (TD) information, thereby posing challenges in precisely discriminating between the direct path (DP) and multipaths. This article refines the sparse signal reconstruction-based angle of arrival (AOA) and TD super-resolution estimate algorithms under the condition of restricted broadband array signals. In accordance with this, the present study proposes a DP-identifying criterion with the assistance of AOA and obtains high-accuracy DPTD estimation. Furthermore, with the high-accuracy DPTD estimation, this article proposes a common material permittivities-based iterative multimaterial BLR algorithm. The final numerical simulations and EM simulations verify the effectiveness of the proposed super-resolution algorithm and the improvement of multimaterial BLR. 收起