| Title:
|
An application of the expectation-maximization algorithm to interference rejection for direct-sequence spread-spectrum signals (English) |
| Author:
|
Zhang, Quan G. |
| Author:
|
Georghiades, Costas N. |
| Language:
|
English |
| Journal:
|
Kybernetika |
| ISSN:
|
0023-5954 |
| Volume:
|
35 |
| Issue:
|
1 |
| Year:
|
1999 |
| Pages:
|
[83]-91 |
| Summary lang:
|
English |
| . |
| Category:
|
math |
| . |
| Summary:
|
For a direct-sequence spread-spectrum (DS-SS) system we pose and solve the problem of maximum-likelihood (ML) sequence estimation in the presence of narrowband interference, using the expectation-maximization (EM) algorithm. It is seen that the iterative EM algorithm obtains at each iteration an estimate of the interference which is then subtracted from the data before a new sequence estimate is produced. Both uncoded and trellis coded systems are studied, and the EM-based algorithm is seen to perform well, outperforming a receiver that uses an optimized notch filter to remove the intereference, especially for large interference levels. (English) |
| Keyword:
|
maximum likelihood (ML) estimation |
| Keyword:
|
spread-spectrum signal |
| Keyword:
|
sequence estimation |
| Keyword:
|
narrowband interference |
| Keyword:
|
expectation-maximization (EM) algorithm |
| Keyword:
|
notch filter |
| MSC:
|
93E10 |
| MSC:
|
94A12 |
| idZBL:
|
Zbl 1274.93260 |
| idMR:
|
MR1705532 |
| . |
| Date available:
|
2009-09-24T19:23:30Z |
| Last updated:
|
2015-03-27 |
| Stable URL:
|
http://hdl.handle.net/10338.dmlcz/135269 |
| . |
| Reference:
|
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| Reference:
|
[2] Dempster A. P., Laird N. M., Rubin D. B.: Maximum–likelihood from incomplete data via EM algorithm.J. Roy. Statist. Soc. 39 (1977), 1–17 MR 0501537 |
| Reference:
|
[3] Georghiades C. N., Han J. C.: Optimum decoding of TCM in the presence of phase–errors.In: Proc. 1990 International Symposium and Its Applications (ISITA’90), Hawaii 1990 |
| Reference:
|
[4] Georghiades C. N., Han J. C.: Sequence estimation in the presence of random parameters via the EM algorithm, submitte. |
| Reference:
|
[5] Georghiades C. N., Snyder D. L.: The expectation–maximization algorithm for symbol unsynchronized sequence detection.In: IEEE Trans. Comm. COM-39 (1991), 54–61 10.1109/26.68276 |
| Reference:
|
[6] Han J. C., Georghiades C. N.: Maximum–likelihood sequence estimation for fading channels via the EM algorithm.In: Proc. Communication Theory Mini Conference, Houston 1993 |
| Reference:
|
[7] Kaleh G. K.: Joint decoding and phase estimation via the expectation–maximization algorithm.In: Proc. Internat. Symposium on Information Theory, San Diego 1990 |
| Reference:
|
[8] Milstein L. B., Iltis R. A.: Signal processing for interference rejection in spread spectrum communications.IEEE ASSP Magazine (1986), 18–31 10.1109/MASSP.1986.1165359 |
| Reference:
|
[9] Modestino J. W.: Reduced–complexity iterative maximum–likelihood sequence estimation on channels with memory.In: Proc. Internat. Symposium on Information Theory, San Antonio 1993 |
| Reference:
|
[10] Wu C. F.: On the convergence properties of the EM algorithm.Ann. Statist. 11 (1983), 1, 95–103 Zbl 0517.62035, MR 0684867, 10.1214/aos/1176346060 |
| . |
