Abstract | ||
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Super-resolution subspace methods are popular in estimating multipath parameters such as angle of arrival and time of flight. However, they require decorrelation techniques to resolve coherent multipath components. The conventional decorrelation techniques reduce the effective aperture of the MIMO array, thus reducing the resolution and number of resolved paths. In this paper, we introduce MIMO smoothing as a new technique to bring decorrelation effect by leveraging the spacial and frequential diversity in MIMO transmitters and receivers. Via extensive experiments on WiFi links, we show that MIMO smoothing can increase the accuracy of multipath resolution.
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Year | DOI | Venue |
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2017 | 10.1145/3117811.3131243 | MobiCom '17: The 23rd Annual International Conference on Mobile Computing and Networking
Snowbird
Utah
USA
October, 2017 |
Keywords | Field | DocType |
MIMO smoothing, CSI, Multipath resolution, Spatial diversity | Multipath propagation,Antenna diversity,Decorrelation,Subspace topology,Computer science,Delay spread,Angle of arrival,MIMO,Electronic engineering,Real-time computing,Smoothing,Distributed computing | Conference |
ISBN | Citations | PageRank |
978-1-4503-4916-1 | 0 | 0.34 |
References | Authors | |
8 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Elahe Soltanaghaei | 1 | 28 | 3.74 |
Avinash Kalyanaraman | 2 | 34 | 4.81 |
Kamin Whitehouse | 3 | 1982 | 160.79 |