Name
Abstract | ||
|---|---|---|
We present a Decision Feedback Equalizer (DFE) based on the proposed hybrid structure, which consists of the fast Kalman and LMS algorithm, to guarantee the fast convergence speed, computational complexity and numerical stability on the strong multipath channels. The LMS algorithm recommended by ATSC for HDTV does not guarantee TOV(Threshold Of Visibility) on the strong multipath channels during the training period. Since the fast Kalman algorithm is not only numerically instable but it also has high computational complexity, we proposed a hybrid structure to solve both of the problems. The fast Kalman algorithm is applied during the training sequence for the fast convergence, and then LMS algorithm is used to reduce the computational complexity and avoid the instability problem for the payload data part. The simulation result demonstrates that our hybrid structure is numerically stable with the fast convergence speed and it overcomes the strong multipath channel. |
Year | DOI | Venue |
|---|---|---|
2003 | 10.1109/ICASSP.2003.1202404 | ICASSP |
Keywords | Field | DocType |
Kalman filters,computational complexity,decision feedback equalisers,high definition television,least mean squares methods,multipath channels,numerical stability,ATSC,DFE,HDTV,LMS algorithm,TOV,computational complexity,convergence speed,decision feedback equalizer,fast Kalman algorithm,hybrid structure,numerical stability,strong multipath channel,threshold of visibility,training sequence | Convergence (routing),Least mean squares filter,Visibility,High-definition television,Control theory,Computer science,Algorithm,Kalman filter,Numerical stability,Payload,Computational complexity theory | Conference |
Volume | ISSN | Citations |
2 | 1520-6149 | 0 |
PageRank | References | Authors |
0.34 | 2 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jung-Min Choi | 1 | 33 | 6.91 |
| Jung Su Kim | 2 | 0 | 0.68 |
| Jae Hong Park | 3 | 19 | 2.98 |
| Jong-Wha Chong | 4 | 120 | 32.87 |