Abstract | ||
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To facilitate efficient communications (i.e., minimum power consumption and maximum information throughput) in vehicle cavities, it is necessary to fully understand the underlying physics of the propagation process. This can be characterized as a statistical model of the channel impulse response, which we derive from a general starting point. The impulse response model is useful in its own right for ultrawideband pulse radio communications, channel simulations, and time-of-arrival positioning systems, and it also allows us to verify the generally accepted property that the energy retained in the cavity exponentially decays with time after an impulse input. This property can be characterized as a cavity Q-factor, and we investigate methods of Q-factor estimation in vehicle cavities, using only a limited amount of data, such as would typically be available to a deployed in-vehicle wireless network. We find that the most reliable approach utilizes an inverse-discrete-Fourier-transform-based method, which finds the maximum-likelihood instantaneous Q-factor, given measured data across various spatial links and frequency channels. |
Year | DOI | Venue |
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2013 | 10.1109/TVT.2013.2284377 | IEEE Transactions on Vehicular Technology |
Keywords | Field | DocType |
Q-factor,discrete Fourier transforms,inverse transforms,maximum likelihood estimation,mobile radio,time-of-arrival estimation,transient response,ultra wideband communication,wireless channels,cavity Q-factor estimation,channel impulse response model,frequency channel,in-vehicle wireless network,inverse-discrete-Fourier-transform-based method,maximum-likelihood instantaneous Q-factor,spatial link,statistical model,time-of-arrival positioning system,ultrawideband pulse radio communication,vehicle cavity,$Q$-factor,Channel sounding,impulse response,ray tracing model,reverberation chamber,vehicle cavity | Transient response,Impulse response,Wireless,Computer science,Infinite impulse response,Communication channel,Electronic engineering,Impulse (physics),Statistical model,Finite impulse response | Journal |
Volume | Issue | ISSN |
62 | 9 | 0018-9545 |
Citations | PageRank | References |
3 | 0.51 | 3 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
steven herbert | 1 | 3 | 0.51 |
Tian Hong Loh | 2 | 11 | 3.63 |
Wassell, I. | 3 | 3 | 0.51 |