An algorithm for fast capturing pseudorandom coded signals is developed by the use of fuzzy sets. This allows the level differences among the observed samples to be utilised in determining error-correcting estimation, resulting in a greater correct estimation probability than that of the conventional method under low signal-to-noise ratio conditions.
