GLRT detector for Gaussian environment with auto-regressive spectrum in single channel of high-frequency surface wave radar

There are various interference sources in the environment of HFSWR which limit detection of small targets. Signal processing techniques have been proposed to reject clutter and interference signals and improve the performance of detection systems. Considering that sea clutter can be modeled by Auto-regressive processes, in the work presented here, single-sensor AR-GC-GLR detector examined for actual sea clutter gathered by a HFSWR. Using simulation and practical measurements, the performance of this detector will be proposed. Findings show that the performance of detection will improve by fewer numbers of the interference samples. This dependency is more than ground clutter with sparse plant coverage, which is considered at AR-GC-GLR detector.