A method for fast estimation of radioactive source parameters is presented. Full use was made of multiple continuous count values, combined with triangulation with four-point sampling method to solve high-dimensional optimization to obtain initialized estimates, which converge to maximum likelihood estimation using an improved hill-climbing algorithm. Cobalt-60 search experiments were conducted in the laboratory using a mobile robot carrying a NaI(TI) detector. Experimental results showed that the method can significantly improve the computational speed.
Keywords: Maximum likelihood estimation; Mobile robots; Parameter estimation; Source localization.
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