Convergence rate of a number of signal processing algorithms in adaptive arrays
DOI:
https://doi.org/10.1109/ICATT.2013.6650759Keywords:
gradient adaptive algorithm, maximum likelihood estimates of correlation matrix, regularization, adaptive lattice filtersAbstract
We compare the convergence rates of adaptive algorithms of four kinds: correlation automatic cancellers of interference; quasi-Newton algorithms based on maximum likelihood (ML) estimates of interference correlation matrices and diagonally regularized kinds of these ML estimates; and adaptive lattice filters.References
SHIRMAN, Y.D. (ed.). Radioelectronic Systems. The Basics of Construction and the Theory. Radio-techniques, 2007 [in Russian].
REED, I.S.; MALLETT, J.D.; BRENNAN, L.E. Rapid convergence rate in adaptive arrays. IEEE Trans. Aerosp. Electron. Syst., 1974, v.AES-10, n.6, p.853-863, doi: http://dx.doi.org/10.1109/TAES.1974.307893.
ABRAMOVICH, Y.I. A controlled method for adaptive optimization of filters using the criterion of maximum SNR. Radio Eng. Electron. Phys., 1981, v.26, n.3, p.87-95.
LEKHOVYTSKIY, D.I. Generalised Levinson algorithm and universal lattice filters. Radiophysics and Quantum Electronics, 1992, v.35, n.9-10, p.509-520, doi: http://dx.doi.org/10.1007/BF01044971.
LEKHOVYTSKIY, D.I.; RACHKOV, D.S.; SEMENIAKA, A.V.; RYABUKHA, V.P.; ATAMANSKIY, D.V. Adaptive lattice filters. Part I. Theory of lattice structures. Applied Radio Electronics, 2011, v.10, n.4, p.380-404.
LEKHOVYTSKIY, D.I.; RACHKOV, D.S.; SEMENIAKA, A.V.; RYABUKHA, V.P.; ATAMANSKIY, D.V. Adaptive lattice filters. Part II. Algorithms for ALF adjustment. Applied Radio Electronics, 2011, v.10, n.4, p.405-418.
