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Accurate demand forecasting could reduce the uncertainty of inventory and provide theoretical basis for strategic decisions. Without the accurate prediction of actual market demand, there will be a supply shortage or surplus, which influences the enterprise's inventory level and costs of operation. Product substitution is an important factor which affects the precision of demand forecasting. It could...
This paper presents a novel application of software radio (e.g., Sora) for hand gesture recognition by using long training symbols. The type of gesture performed between the transmitter and receiver can have significant effects on the received wireless signals (e.g., IEEE 802.11a). Since all wireless signal processing functions could be done completely in software, we can easily capture the two long...
A novel semi-blind channel estimation is devised to jointly estimate the channel matrices of all links in a three-hop multiple-input multiple-output (MIMO) relay system. By exploiting the KRST coding structure in the source node, a PARAFAC tensor model is firstly investigated in the process of estimating the compound channel matrix consisting the channel state information of all links. Then, through...
Alternative Position, Navigation, Time (APNT) service is gradually on the rise to maintain safety, and minimize economic impacts from GNSS interference outages within the airspace system. As a result, anti-interference ranging methods are urgently needed in APNT systems. Fast frequency hopping technology can provide strong resistance to radio interference for APNT systems. However, it is hard to get...
In this letter, we propose an approach for multichannel spaceborne/stationary synthetic aperture radar (SAR) interferometry based on maximum a posteriori (MAP). Spaceborne/stationary SAR is a typical bistatic SAR configuration. In order to solve the phase disconnection problem while working with a low signal-to-noise ratio and a limited number of baselines as well as having large look angle variations,...
Annual Average Daily Traffic (AADT) and Vehicle Miles Traveled (VMT) of traffic network are very important data for the plan and decision making. How to estimate AADT and VMT on local area roads is a long-time existing problem due to lack of traffic monitor counts. This paper presents a novel approach to the community area AADT and VMT estimation by developing circuit network model and simulation...
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