Abstract
Capture effect is very common in wireless communication systems. If the capture effect was properly used, it will enhance the systems identification efficiency. We proposed a capture-aware tag estimation algorithm based on Maximum a Posterior Probability (MAP) estimation, which estimates the tag number and the capture effect by searching for the values of tag number and capture probability in their hunting zone jointly, that maximizing the posterior probability. Then reset the frame length given by the optimal frame equation under capture effect. Compared with the traditional MAP estimation, i.e. the estimation of tag number without capture effect, the estimated error of the proposed method is lower and the system identification efficient of the proposed algorithm is higher, also much closer to the ideal efficiency.
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