Abstract
Abstract In an ad hoc suboptimal detector, the benefits of non-Gaussian noise to narrowband weak signal detection are demonstrated. Particularly, for a noise envelope with a Rice distribution, we can improve the detector performance by tuning threshold parameter but keeping noise level, or increasing the noise level for a fixed threshold. It is verified that, under certain circumstances, the optimal detection probability achieved by tuning noise level is superior to that obtained by optimizing the detector threshold.
Highlights
In long-range communication and radar systems, the receiver bandwidth is sufficiently narrow that only the frequency components centered on a carrier frequency can pass
We focus on the benefits of non-Gaussian noise to narrowband weak signal detection in an ad hoc hard-limiter correlation detector
We explore non-Gaussian noise benefits to narrowband weak signal detection in an ad hoc hard-limiter detector
Summary
In long-range communication and radar systems, the receiver bandwidth is sufficiently narrow that only the frequency components centered on a carrier frequency can pass. Noise is assumed to have a wide frequency band, i.e. broadband noise It is clearly shown [9,10,11,12,13,14,15,20,21,22] that noise, as an optional approach, can improve the detection performance of suboptimal but practical nonlinear detectors. We prove that the maximum detection probability achieved by tuning noise level is superior to that obtained by tuning the detector threshold. This advantageous result further confirms the potential capability of noise in performance improvement in the context of nonlinear signal processing
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