研究目的
To demonstrate and validate the use of modelling and simulation in reducing risk and accelerating algorithm development for phased array radar systems, specifically for MTI and MIMO radar designs, by comparing model results with hardware-generated data.
研究成果
Modelling and simulation effectively validated radar system designs for MTI and MIMO radars, achieving all specified requirements. The models matched hardware performance, enabling algorithm validation before hardware integration. Future work will apply these models to quadcopter detection and identification, enhancing efficiency in data collection efforts.
研究不足
The study relies on specific commercial radar hardware, which may limit generalizability to other systems. The models and experiments are focused on MTI and MIMO radars, and potential areas for optimization include extending to other radar types or improving real-time processing capabilities.
1：Experimental Design and Method Selection:
The study involved developing models for MTI and MIMO radar systems using synthesized data and comparing them with live data from commercial radar hardware. Theoretical models included radar waveform design, clutter modeling, and signal processing algorithms such as MTI, beamforming, CFAR detection, and multi-object tracking.
2：Sample Selection and Data Sources:
Synthesized data sets were created based on specific scenarios (e.g., quadcopter hovering for MTI radar). Live data was generated using a commercially available phased array radar hardware operating at 24 GHz with specified antenna configurations.
3：List of Experimental Equipment and Materials:
Commercially available phased array radar hardware (not specified by brand or model), PC with MATLAB for processing, and USB interface for hardware connection.
4：Experimental Procedures and Operational Workflow:
Models were developed in MATLAB, radar parameters were set (e.g., bandwidth, PRI), data was collected from hardware via USB, and processing algorithms were applied to both synthesized and live data. Comparisons were made for performance metrics like range-Doppler and range-angle plots.
5：Data Analysis Methods:
Performance results were analyzed by comparing simulated and measured data using plots and statistical comparisons to validate model accuracy.
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