研究目的
Investigating the features of modern methods for detecting and determining the coordinates of small unmanned aerial vehicles using a two-position ground radar system, including the use of methods from multi-sensor radar systems, and determining the system's potential characteristics and limitations.
研究成果
The analysis confirms the appropriateness of using two-position radar systems for detecting and determining motion parameters of small UAVs, highlighting advantages like improved accuracy and noise immunity. Key findings include the system's ability to cover large areas and provide real-time information, with suggestions for future studies focusing on algorithm refinement and implementation challenges.
研究不足
The system is subject to limitations such as the accuracy requirements for three coordinates simultaneously not always being met with single-position radar, and the need for specific conditions like proper radar placement and noise handling. Potential areas for optimization include improving algorithms and equipment modernization.
1：Experimental Design and Method Selection:
The methodology involves simulation using mathematical models based on experimental data to evaluate a two-position ground radar system. It includes algorithms for joint information processing and coordinate determination in Cartesian and polar systems.
2：Sample Selection and Data Sources:
The study uses simulated scenarios with ground-based radars and UAV targets, incorporating noise components modeled as white Gaussian noise.
3：List of Experimental Equipment and Materials:
Two ground-based radars (Radar 1 and Radar 2) with specified technical characteristics, such as viewing angles, pulse durations, and radiation power. No specific brands or models are mentioned.
4：Experimental Procedures and Operational Workflow:
The process includes setting initial data, simulating radar and target positions, calculating coordinates, adding noise, converting to a unified coordinate system, processing information, and estimating measurements. Radars are placed in parallel or sequential configurations with a common overlap zone.
5：Data Analysis Methods:
Analysis involves comparing error-free user data with measured data to assess accuracy, using statistical methods for mean square error and standard error calculations.
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