Abstract

For the reason of target multipaths ambiguities, localization for hidden moving target due to lack of line of sight (LOS) path in urban environments is a hard task. To handle this problem we propose a localization algorithm based on the internal connection of these multipaths in this paper. First, we establish an electromagnetic (EM) propagation model based on the characters of the measured signal received by an L-band single-input single-output (SISO) ultra-wideband (UWB) radar. After that, the model-based target localization algorithm is proposed based on a times-of-arrival (TOAs) association method, which is able to match the measured TOAs with the corresponding EM propagation paths correctly. The proposed method can cope with the case while some missing detections of TOAs happen. Simulation and experimental results ultimately validate the robustness and the state-of-the-art performance of the proposed algorithm.

Highlights

  • Urban sensing has wide applications in many fields, such as urban battles, rescues and anti-terrorism [1]–[3]

  • MODEL-BASED TARGET LOCALIZATION we introduce the target localization algorithm

  • The relative positions and the amplitudes of these range tracks varying with the target locations

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Summary

INTRODUCTION

Urban sensing has wide applications in many fields, such as urban battles, rescues and anti-terrorism [1]–[3]. The penetrating signals are very weak while the target is hidden behind the whole room or at the building corner due to the serious attenuation while passing multiple walls Under this situation, the NLOS multipath detection is more qualified for NLOS detection by exploiting the multipaths derived from diffraction and specular reflections on building surfaces. Mir. There have been many works done in exploiting NLOS multipaths to detect hidden targets [10]–[24]. In our previous work [25], we have obtained the wall’s positions in corner environment using an L-band imaging radar, while in [26], a positioning algorithm which utilize multipath components produced by diffraction and specular reflections on surrounding surfaces is proposed.

EM WAVE PROPAGATION MODEL
TARGET LOCATION WITH KNOWN TOAS
MODEL-BASED TOAS ASSOCIATION
EM SIMULATION RESULTS
CONCLUSION
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