LAUSR

Due to the influence of sparse scattering, wave movement and variable climate, maritime wireless channel modeling is particularly difficult. In this letter, a maritime channel measurement scheme is designed and implemented. A clustering algorithm-based channel modeling framework is further proposed to process the measurement data and build a maritime propagation model. Specifically, the clustering algorithm is introduced in the framework to adaptively discover data characteristics in complex environments, which avoids error accumulation. Numerical results illustrate that the proposed model outperforms existing empirical path loss models in describing the signal propagation at sea, which provides good guidance for designing and deploying of maritime communication systems.