Wireless channel modeling in foliage environment: UWB versus narrowband

In this paper, we study the wireless channel modeling in foliage environment, a rich scattering and timevarying environment, based on extensive data collected using UWB and narrowband (200 MHz and 400 MHz) radars. We apply two approaches to the wireless channel modeling: Saleh and Valenzuela (S-V) method for UWB channel modeling and CLEAN method for narrowband and UWB channel modeling. We validated that UWB echo signals (within a burst) donpsilat hold self-similarity, which means the future signals canpsilat be forecasted based on the received signals and channel modeling is necessary from statistical point of view. Based on the S-V method for UWB channel modeling, in foliage UWB channel, the multi-path contributions arrive at the receiver are grouped into clusters. The time of arrival of clusters can be modeled as a Poisson arrival process, while within each cluster, subsequent multipath contributions or rays also arrive according to a Poisson process. At different field (near field, medium field, and far field), we observe that the Poisson process parameters are quite different. We also observe that the amplitude of channel coefficient at each path follows Rician distribution for medium and far field, and itpsilas non-stationary for paths from near field (one of two Rician distributions), and these observations are quite different with the IEEE indoor UWB channel model and S-V indoor channel model. Based on the CLEAN method, the narrowband (200 MHz and 400 MHz) and UWB channel impulse responses have many similarities: both can be modeled as linear time-variant filter channel.