Keywords: wireless sensor network, forest fire prediction, positioning algorithm, gravity scanning algorithmForest fire prediction focuses on prediction accuracy and fast prediction, you need to take advantage of wireless sensor positioning algorithm to reduce the positioning error rate. This article will study wireless sensor positioning algorithm by comparison and positioning algorithms to further enhance forest fire prediction the occurrence of positioning accuracy, thus providing a good algorithm to support forest fire forecast.
AbstTact-In this paper, w e consider the problem of sig-be done first. Simulation results show that the proposed -nature waveform estimation and detection in dispersive CDMA channel in the presence of multiple access interference (MAI). A subspace training method for signature method offers significant performance gain over the conventional matched waveform estimation is proposed. By using this method number of training symbols of the desired user. Simulation results show that the proposed method offers significant performance gain over the conventional matched filter receiwr and it is near-far resistant. the signature waveform can be estimated given only a small
SYSTEM MODEL
A . DataConsider a K -~~~~ synchronous CDMA system, the transmitted signal due to the k-th user is given by
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