Name
Abstract | ||
|---|---|---|
In this paper we present a low complexity blind receiver tailored for QAM signals. Various simplifications are introduced in carrier/phase recovery, and adaptive equalizer algorithms. For blind equalization purpose, the multi-modulus algorithm (MMA), and its generalized version (GMMA) are very promising algorithms. They combine the benefits of reduced constellation algorithm (RCA) and the constant modulus algorithm (CMA) [1]. In this paper, we propose a low-complexity version of these algorithms, by modifying the error function and applying the sign data LMS algorithm for the coefficients adaptation. The proposed algorithms use less multiplication operations than conventional one, and ensure a good rate of convergence with an acceptable steady state. Convergence analysis, in the mean sense, of the proposed algorithm is presented. For carrier/phase recovery, we propose an algorithm that has two modes of operations-acquisition, and tracking mode. The overall proposed scheme is promising, especially for applications dealing with a high baud rate over a severe channel, such as VDSL systems, where the required number of taps for the equalizer is large. Computer simulations are presented to support our approach. |
Year | DOI | Venue |
|---|---|---|
2003 | 10.1109/GLOCOM.2003.1258616 | GLOBECOM |
Keywords | Field | DocType |
adaptive equalisers,blind equalisers,computational complexity,convergence of numerical methods,digital subscriber lines,least mean squares methods,quadrature amplitude modulation,receivers,signal detection,tracking,CMA,VDSL,adaptive equalizer algorithms,blind QAM receiver,blind equalization,blind receiver,broadband access standards,carrier recovery,coefficient adaptation,constant modulus algorithm,convergence analysis,error function,generalized multi-modulus algorithm,low complexity receiver,multiplication operations,phase recovery,reduced constellation algorithm,sign data LMS algorithm | Least mean squares filter,Quadrature amplitude modulation,Control theory,Computer science,QAM,Algorithm,Adaptive equalizer,Real-time computing,Rate of convergence,Baud,Blind equalization,Computational complexity theory | Conference |
Volume | Citations | PageRank |
4 | 1 | 0.37 |
References | Authors | |
3 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hichem Besbes | 1 | 80 | 22.41 |
| Alex W. Paek | 2 | 1 | 0.71 |