Abstract
The constant modulus algorithm (CMA), a popular method for performing blind equalization, has the drawback of failing when the input data has a Gaussian distribution or a kurtosis larger than three. This means that source shaping (which is used to increase the shaping gain) can produce data unequalizable by CMA and the other main blind equalization techniques. This paper proposes a simple extension of CMA which blindly equalizes many types of shaped constellations.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 590-594 |
| Number of pages | 5 |
| Journal | Conference Record of the Asilomar Conference on Signals, Systems and Computers |
| Volume | 1 |
| State | Published - 1998 |
| Externally published | Yes |
| Event | Proceedings of the 1997 31st Asilomar Conference on Signals, Systems & Computers. Part 1 (of 2) - Pacific Grove, CA, USA Duration: Nov 2 1997 → Nov 5 1997 |
ASJC Scopus subject areas
- Signal Processing
- Computer Networks and Communications