Which system can look at zero Doppler returns, compare them to a clutter map, and determine whether the video return is ground?

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Multiple Choice

Which system can look at zero Doppler returns, compare them to a clutter map, and determine whether the video return is ground?

Explanation:
Moving Target Detection uses Doppler processing to separate moving targets from stationary clutter. Returns at or near zero Doppler are typically from ground or other stationary objects. The system keeps a clutter map of what stationary clutter looks like and compares current zero-Doppler video returns to that map. If a zero-Doppler return matches the clutter map, it’s classified as ground clutter; if not, it can be flagged as a potential moving target. This combination—leveraging zero-Doppler information with a clutter-map comparison—is exactly how the system distinguishes ground returns from moving targets, which is why it’s the best fit. Ground clutter filtering focuses more on suppressing clutter, while the other options don’t describe the same clutter-map comparison used for ground vs. moving target determination.

Moving Target Detection uses Doppler processing to separate moving targets from stationary clutter. Returns at or near zero Doppler are typically from ground or other stationary objects. The system keeps a clutter map of what stationary clutter looks like and compares current zero-Doppler video returns to that map. If a zero-Doppler return matches the clutter map, it’s classified as ground clutter; if not, it can be flagged as a potential moving target. This combination—leveraging zero-Doppler information with a clutter-map comparison—is exactly how the system distinguishes ground returns from moving targets, which is why it’s the best fit. Ground clutter filtering focuses more on suppressing clutter, while the other options don’t describe the same clutter-map comparison used for ground vs. moving target determination.

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