👉 Radar computing is a specialized field that involves the processing and interpretation of data acquired through radar systems, which use radio waves to detect and locate objects. At its core, radar computing relies on sophisticated algorithms and high-performance computing architectures to handle the vast amounts of data generated by radar systems in real-time. These systems typically involve signal processing techniques to extract meaningful information from the received echoes, such as range, velocity, and angle of objects. Key components include Fast Fourier Transform (FFT) for frequency domain analysis, beamforming algorithms to steer radar beams electronically, and advanced filtering methods to reduce noise and interference. Modern radar computing also integrates machine learning and artificial intelligence to enhance object recognition, classification, and tracking capabilities, making it indispensable in applications ranging from air traffic control and weather forecasting to military surveillance and autonomous vehicle navigation.
