PROJECT TITLE :

Adaptive detection without training data in colocated MIMO radar

ABSTRACT:

For colocated multiple-input multiple-output (MIMO) radar target detection in coloured noise, we tend to propose two adaptive detectors consistent with the Rao and Wald test criteria. These detectors do not want coaching data and possess constant false alarm rate properties. We have a tendency to investigate the manner in that they work. From a detection viewpoint, we show that there's no would like for matched filtering for colocated MIMO radar.We tend to derive the statistical distributions of the proposed detectors and then acquire the analytical expressions for the probabilities of false alarm and detection for both deterministic and random signals. Numerical examples are provided to check the detection performance of the Rao andWald tests with an existing detector.


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