On-board regeneration of uplink signals using a blind multichannel estimator

IEEE Transactions on Aerospace and Electronic Systems

Volumn 34, Issue 1, 1998, Pages 49-62

  Martone, Massimiliano ^a,b,c  

^a IEEE   (United States)

^b Watkins Johnson Company   (United States)

^c Watkins Johnson Company   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMMUNICATION CHANNELS (INFORMATION THEORY); INTERFERENCE SUPPRESSION; KALMAN FILTERING; MATHEMATICAL TRANSFORMATIONS; RADIO INTERFERENCE; RADIO LINKS; STATISTICAL METHODS;

CROSS POLARIZATION INTERFERENCE (CPI); ON BOARD PROCESSING (OBP) SATELLITES;

SATELLITE COMMUNICATION SYSTEMS;

EID: 0031701536     PISSN: 00189251     EISSN: None     Source Type: Journal    
DOI: 10.1109/7.640261     Document Type: Article

References (21)

1. Chu, T. S. (1973) Restoring the orthogonality of two polarizations in radio communications systems, I. Bell System Technical Journal, 50, 9 (Mar. 1973), 3063-3069.
2. Nichols, H. E., Giordano, A. A., and Proakis, J. G. (1977) MLD and MSE algorithms for adaptive detection of digital signals in the presence of interchannel interference. IEEE Transactions on Information Theory, IT-23, 5 (Sept. 1977), 563-575.
3. Swami, A., Giannakis, G., and Shamshnder, S. (1994) Multichannel ARMA processes. IEEE Transactions on Signal Processing, 42 (Apr. 1994), 898-913.
4. Shalvi, O., and Weinstein, E. (1993) Super exponential methods for blind deconvolution. IEEE Transactions on Information Theory, 39 (Mar. 1993).
5. Bello, P. A. (1963) Charachterization of randomly time variant linear channels. IEEE Transactions on Communication Technology, COM-11 (Dec. 1963), 360-393.
6. Kahverad, M., and Salz, J. (1985) Cross-polarization cancellation and equalization in digital transmission over dually polarized multipath fading channels. AT&T Technology Journal, 64, 10 (Dec. 1985), 2211-2245.
7. Amitay, N., and Salz, J. (1984) Linear equalization theory in digital data transmission over dually polarized fading radio channels. AT&T Bell Laboratory Technology Journal, 63, 10 (Dec. 1984), 2215-2259.
8. Mendel, J. M. (1991) Tutorial on higher order statistics (spectra) in signal processing and system theory: Theoretical results and some applications. Proceedings of the IEEE, 79 (Mar. 1991), 278-305.
9. Tong, L., Liu, R., Soon, V., and Huang, Y. (1991) Indeterminacy and identifiability of blind identification. IEEE Transactions on Circuits and Systems, 38 (May 1991), 499-509.
10. Li, Y., and Liu, K. J. R. Adaptive blind multi-channel equalization for multiple signals separation. IEEE Transactions on Signal Processing, submitted for publication.
11. Satorius, E. H., and Pack, J. D. (1981) Applications of least squares lattice algorithms to adaptive equalization. IEEE Transactions on Communication, COM-29 (Feb. 1981), 136-142.
12. Proakis, J. G. (1989) Digital Communications. New York: McGraw-Hill, 1989.
13. Cioffi, J. M., and Kailath, T. (1984) Fast recursive least squares transversal filters for adaptive filtering. IEEE Transactions on Acoustics, Speech, and Signal Processing, ASSP-32 (Apr. 1984), 302-337.
14. Lewis, P. (1990) QR based algorithms for multichannel adaptive least squares lattice filters. IEEE Transactions on Acoustics, Speech, and Signal Processing, 30 (Mar. 1990), 421-432.
15. Stutzman, W. L. (1993) Prolog on the special section on propagation effects on satellite communication links. Proceedings of the IEEE, 81, 6 (June 1993), 850-855.
16. Godard, D. N. (1980) Self-recovering equalization and carrier tracking in two dimensional data communications systems. IEEE Transactions on Communication, COM-28 (Nov. 1980), 1867-1875.
17. Sato, Y. (1975) A method of self-recovering equalization for multi-level amplitude-modulation systems. IEEE Transactions on Communication, COM-23 (June 1975), 679-682.
18. Haykin, S. (1986) Adaptive Filter Theory. Englewood Cliff, NJ: Prentice Hall, 1986.
19. Saltzberg, B. R. (1968) Intersyrabol interference error bounds with application to ideal bandlimited signaling. IEEE Transactions on Information Theory, IT-14 (July 1968), 563-568.
20. Shalvi, O., and Weinstein, E. (1994) Universal methods for blind deconvolution. In S. Haykin (Ed.), Blind Deconvolution. Englewood Cliffs, NJ: Prentice-Hall, 1994.
21. Li, Y, and Ding, Z. (1995) Convergence analysis of finite length blind adaptive equalizers. IEEE Transactions on Signal Processing, 43 (Sept. 1995), 2120-2129.