Abstract
This paper presents a method using Bayesian Generalized Likelihood Ratio Tests (BGLRT) to detect the dynamic signal of sky screen-based velocity measurement System under poor signal-to-noise ratio (SNR). The characteristics of the dynamic signal are systematically analyzed, and then a Bayesian classification model is formulated based on BGLRT. According to Neyman-Pearson criterion, we construct an adaptive threshold detector, thereby detecting the dynamic signal, effectively, under this SNR (−1 to 5 dB). Through semi-physical simulations and live ammunition experiments, the results demonstrate the proposed method can increase the effective detection height of this velocity measurement system by approximately 20 % compared with the previous methods.
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