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Finally, the performance assessment, conducted over simulated data and in comparison with conventional radar detectors, highlights that the proposed architectures can provide satisfactory performance in terms of probability of detection and correct classification.
Experimental results, conducted by the recorded radar data, show that the proposed detector outperforms the conventional detectors.
We show that on the other hand, the GLRT detectors have a varying probability of false alarm with changing reference channel characteristics making it impractical to use them in a passive radar system.
Simulation results show that the proposed detectors outperform the traditional detectors, especially in training-limited scenarios.
The reported results show that the photonics-based radar system, although at a demonstrator stage, proves comparable performance with the commercial radar used as reference.
These detectors are a breakthrough for life cycle cost for tactical applications as portable cameras, airborne systems, and missiles.
These results allow us to study the performance analysis of the adaptive CFAR radar detectors (GLRT-LQ, BORD, ...).
Results show that it outperforms the conventional detectors.
This provides one with an effective means of producing such detectors for operation in many of the clutter environments of interest in radar signal processing.
They are suited for low cost automotive radar systems.

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