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A Multiple Target Positioning and Tracking System Behind Brick-Concrete Walls Using Multiple Monostatic IR-UWB Radars
Sungwon Yoo1, Dingyang Wang2, Dong-Min Seol3
1Department of Electronics and Computer Engineering, Hanyang University, Seoul 04763, Korea. irishtaco@hanyang.ac.kr.
This study introduces a novel through-wall radar system for tracking multiple targets behind obstacles. The new method improves detection and reduces false alarms compared to traditional algorithms.
Area of Science:
- Radar Systems Engineering
- Signal Processing
- Electromagnetics
Background:
- Impulse radio ultra-wideband (IR-UWB) radar can penetrate walls, enabling target recognition and tracking behind obstacles.
- Through-wall radar signals suffer distortion (attenuation, delay), complicating accurate detection and tracking.
- Existing methods like delay-and-sum are sensitive to target motion and wall-induced signal distortion.
Purpose of the Study:
- To design and validate a through-wall radar system for estimating and tracking multiple targets behind a wall.
- To develop a novel detection algorithm that overcomes limitations of conventional methods in cluttered environments.
- To compensate for wall-induced signal distortion and improve tracking accuracy.
Main Methods:
- A through-wall radar system was designed to process IR-UWB signals.
- Wall characteristics were estimated to correct for distance errors caused by signal attenuation and delay.
- A novel target detection algorithm was proposed, calculating target existence likelihood without direct signal use, unlike the delay-and-sum approach.
Main Results:
- Simulations and experiments demonstrated the system's validity in various scenarios.
- The proposed algorithm showed improved performance in detection rate and reduced false alarm rate compared to delay-and-sum and trilateration.
- Positioning errors were analyzed and compared across different methods.
Conclusions:
- The proposed through-wall radar system and novel detection algorithm effectively track multiple targets behind walls.
- The method offers enhanced performance in challenging conditions characterized by signal attenuation and distortion.
- Accurate target estimation and tracking are achievable with the developed system.
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