Name
Abstract | ||
|---|---|---|
We propose novel low-complexity iterative channel estimators based on B-splines. Local splines are adopted for computational simplicity. Minimum mean square error (MMSE) local splines with integral sampling are derived. The MSE of the proposed estimators depends on signal-to-noise ratio, fading rate, sampling interval, spline order and the number of weighting coefficients; these dependencies are investigated. The linear and cubic local splines with as few as seven weighting coefficients are capable of achieving MSE and BER performance comparable to those of the Wiener filter and the spheroidal basis expansion. However, a significantly lower complexity is achieved using B-splines |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1109/TWC.2007.348317 | IEEE Transactions on Wireless Communications |
Keywords | Field | DocType |
Wiener filters,channel estimation,error statistics,fading channels,iterative methods,least mean squares methods,signal sampling,splines (mathematics),B-splines,BER,MMSE,Wiener filter,cubic local splines,fast flat fading channels,integral sampling,iterative channel estimation,minimum mean square error,sampling interval,signal-to-noise ratio,spheroidal basis expansion,spline order | Wiener filter,Spline (mathematics),Applied mathematics,Weighting,Mathematical optimization,Iterative method,Fading,Minimum mean square error,Mean squared error,Real-time computing,Mathematics,Estimator | Journal |
Volume | Issue | ISSN |
6 | 4 | 1536-1276 |
Citations | PageRank | References |
12 | 0.76 | 8 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Huiheng Mai | 1 | 12 | 0.76 |
| Yuriy V. Zakharov | 2 | 61 | 5.64 |
| Alister G. Burr | 3 | 357 | 65.67 |