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Characterization of WSSUS Channels: Normalized
| Content Provider | CiteSeerX |
|---|---|
| Author | Covariance, Mean Square Yoo, Do-Sik Stark, Wayne E. |
| Abstract | A set of second order statistics collectively called normalized mean square covariance (NMSV) is defined to characterize the frequency and/or the time selectivity of wide-sense stationary uncorrelated scattering (WSSUS) channels. Normalized frequency mean square covariance (NFMSV) quantifies the frequency selectivity, while normalized time mean square covariance (NTMSV) characterizes the time selectivity. Normalized frequency-time mean square covariance is defined to characterize the combined effect of frequency and time selectivities. The NMSV's of a WSSUS channel can easily be computed from the scattering function. We show that there is a very close relationship between the NMSV of a WSSUS channel and the performance of various diversity combing scheme. Also we discuss, with practical system design problems, how useful the parameters are for efficient system design. |
| File Format | |
| Journal | IEEE Transactions on Wireless Communications |
| Language | English |
| Access Restriction | Open |
| Subject Keyword | Wssus Channel Time Selectivity Combined Effect Close Relationship Frequency-time Mean Square Covariance Second Order Statistic Normalized Time Mean Square Covariance Frequency Selectivity Efficient System Design Normalized Frequency Mean Square Covariance Practical System Design Problem Various Diversity Wide-sense Stationary Uncorrelated Scattering Normalized Mean Square Covariance |
| Content Type | Text |
| Resource Type | Article |