研究目的
To evaluate the feasibility of a passive bistatic geosynchronous radar re-using existing comsat transmissions for radar imaging, as a low-cost technology demonstration.
研究成果
The passive bistatic geosynchronous radar concept is feasible for coarse resolution imaging (approximately 1 km) using available signals like Ku-band digital TV broadcasts. It offers a low-cost approach for technology demonstration, enabling applications such as atmospheric monitoring and soil moisture estimation. Further studies and technology demonstrations are planned to advance both the technology and potential applications.
研究不足
The spatial resolution is limited to around 1 km or greater, which excludes applications requiring finer resolution (e.g., below 100 m). Signal availability and stability (e.g., time-dependent formatting in Ka-band) may constrain usability. The concept is at a low technology readiness level (TRL 4), and further demonstrations are needed to validate feasibility in space.
1：Experimental Design and Method Selection:
The study involves a theoretical and simulation-based feasibility analysis for passive bistatic synthetic aperture radar using geosynchronous satellites. It includes signal selection based on correlation properties, mission geometry design, and radar performance modeling using bistatic radar equations.
2：Sample Selection and Data Sources:
Candidate signals from geosynchronous satellites are surveyed, including L-band transmissions from Inmarsat, Ku-band digital TV signals (e.g., DVB-S2), and Ka-band data transmissions. Signal footprints and coverage maps are used (e.g., Inmarsat L-band and Astra2E Ku-band).
3：List of Experimental Equipment and Materials:
No specific experimental equipment is mentioned; the study is theoretical, focusing on signal analysis and simulations.
4：Experimental Procedures and Operational Workflow:
The workflow includes identifying suitable signals, evaluating their correlation properties (e.g., using ambiguity functions), designing the mission geometry with separate transmitter and receiver satellites, and simulating spatial resolution and signal-to-noise ratio (SNR) using bistatic radar equations.
5：Data Analysis Methods:
Analysis involves theoretical evaluations of signal correlation properties, simulations of range and Doppler cuts (e.g., for Inmarsat signals), and link budget calculations for SNR. Software-defined radio concepts are considered for adaptability.
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