2020Unpublished venueRequires access

Moving target detection using bistatic radar

Clark F. Handel, Ram M. Narayanan

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Abstract

Target detection can depend on many factors, such as waveform, system geometry, and transmit power. In order to study factors such as system geometry, both a monostatic and a bistatic radar system were simulated. The targets of interest were assumed to be moving vehicles in a ground-based simulation. After creating system models and performing the simulations, the next step was to evaluate the effectiveness of the post processing algorithm. This algorithm was developed to extract more information about the characteristics of the target. Next, the algorithm was tested in a bistatic geometry utilizing the Long-Term Evolution (LTE) Down Link signal as the illuminator of opportunity. The multiple test cases are used to verify the robustness of the signal processing. Overall, through simulations, it was concluded that the advanced signal processing techniques were effective in extracting more information about the targets' characteristics.

About this research paper

What this paper is about

Target detection can depend on many factors, such as waveform, system geometry, and transmit power. In order to study factors such as system geometry, both a monostatic and a bistatic radar system were simulated. The targets of interest were assumed to be moving vehicles in a ground-based simulation. After creating system models and performing the simulations, the next step was to evaluate the effectiveness of the post processing algorithm. This algorithm was developed to extract more information about the characteristics of the target. Next, the algorithm was tested in a bistatic geometry utilizing the Long-Term Evolution (LTE) Down Link signal as the illuminator of opportunity. The multiple test cases are used to verify the robustness of the signal processing. Overall, through simulations, it was concluded that the advanced signal processing techniques were effective in extracting more information about the targets' characteristics.

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Available abstract

Target detection can depend on many factors, such as waveform, system geometry, and transmit power. In order to study factors such as system geometry, both a monostatic and a bistatic radar system were simulated. The targets of interest were assumed to be moving vehicles in a ground-based simulation. After creating system models and performing the simulations, the next step was to evaluate the effectiveness of the post processing algorithm. This algorithm was developed to extract more information about the characteristics of the target. Next, the algorithm was tested in a bistatic geometry utilizing the Long-Term Evolution (LTE) Down Link signal as the illuminator of opportunity. The multiple test cases are used to verify the robustness of the signal processing. Overall, through simulations, it was concluded that the advanced signal processing techniques were effective in extracting more information about the targets' characteristics.

Key concepts: Bistatic radar, Robustness (evolution), Computer science, Waveform, Passive radar, Radar, Signal processing, Radar engineering details

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