2019/01/20 by Zabihollah Hasanshahi, Hasanshahi, Zabihollah, Paeiz Azmi +3
Computer Science · Earth and Planetary Sciences · Engineering · #Algorithm #Artificial intelligence #Channel (broadcasting) #Channel state information #Clutter #Computer science #Direction-of-Arrival Estimation Techniques #Electronic engineering #Engineering #FOS: Electrical engineering #Fading #Fading distribution #Nakagami distribution #Non-line-of-sight propagation #Precipitation Measurement and Analysis #Radar #Radar Systems and Signal Processing #Radio Wave Propagation Studies #Rayleigh fading #Reflection (computer programming) #Signal Processing (eess.SP) #Statistical model #Telecommunications #Transmitter #Wireless #eess.SP #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.1901.06650
published in arXiv (Cornell University) (Cornell University) · 7 pages,10 figures, 3 tables
arxiv created 2019/01/20 · openalex publication_date 2019/01/20 · arxiv updated 2019/01/23 · openalex created_date 2022/07/30 · openalex updated_date 2026/08/05
Statistical models are employed to characterize the clutter in the radar and\nthe reflective signals of the telecommunication receivers. End to this,\nRayliegh distribution is the simplest fading models in NLOS channels possessing\nlow-accuracy in the high-resolution radars and distant telecommunication\nreceivers. At present, high accuracy models such as the m-type Nakagami and\nhybrid GG distributions are utilized in order to model fading. However, despite\nthe Non-Rayliegh models have better precision in the NLOS relative to the\nRayliegh models, the accuracy of these models decreases when the radiation\nangle in the transmitter and the reflection angle in the receiver are\ndifferent. In this paper, the K distribution function is analytically\nintroduced and deployed to model the fading using practical data. Although this\nmodel was previously introduced to describe the clutter properties of the radar\n