Real-Time Doppler Superresolution Radar

Traditional radar systems have the ability to detect objects and measure their velocity. However, these systems typically face challenges when facing high noise or when differentiating between multiple closely spaced targets. The problem with the existing technologies is that they primarily make use of the radar signal's amplitude or frequency, both of which could be significantly affected by noise or clutter. This approach often leads to increased false alarms and reduced tracking performance, especially in scenarios with multiple targets or in environments with a high noise level.

Technology Description

The phase Doppler radar system consists of a pulse Doppler receiver/transmitter subsystem and a processing subsystem. The system collects pulses and determines their initial undifferentiated phase, differentiates the pulses, and calculates the differentiated phase. It then carries out a linear fit on the differentiated pulses, producing a slope and intercept as a result. From this process, initial estimates of coefficients for a nonlinear fit equation are determined. The system tests these initial coefficients against a nonlinear least-squares fit and produces a nonlinear fit result. The technology differentiates itself through the use of phase information in radar signal processing, improving the system accuracy and reliability. Thereafter, the system calculates a goodness-of-fit (GoF) statistic linked with the nonlinear fit result and declares a detection event if the GoF is superior to a GoF tied to Gaussian noise. This method renders the system more immune to noise, boosting its capacity to detect targets accurately.