Signal Detection by Generalized Detector in Compound-Gaussian Noise
نویسندگان
چکیده
This paper handles the problem of detecting signals with known form and structure and unknown or random amplitude and phase in the presence of compound-Gaussian noise with known spectral density in remote sensing systems. The generalized detector (GA) based on the generalized approach to signal processing (GASP) in noise is investigated in [1]–[5]. The structure of the GA detector is independent of the disturbance amplitude probability density. Based on this result, the threshold setting, which is itself independent on both the noise distribution and the signal parameters, ensures a constant false alarm rate (CFAR). The detection performance analysis shows that the GA detector outperforms the optimum Neyman-Pearson (NP) receiver and the conventional square-law detector. Key-Words: Generalized detector, Constant false alarm rate, Detection performance, Gaussian noise, Radar.
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