A new adaptive algorithm, called RLMS, which combines the use of Recursive Least Square (RLS) and Least Mean Square (LMS), is proposed for arraybeamforming. The convergence of the RLMS algorithm is analyzed, in term...
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ISBN:
(纸本)9784885522321
A new adaptive algorithm, called RLMS, which combines the use of Recursive Least Square (RLS) and Least Mean Square (LMS), is proposed for arraybeamforming. The convergence of the RLMS algorithm is analyzed, in terms of mean square error, in the presence of additive white Gaussian noise. Computer simulation results show that the convergence performance of RLMS is superior to either RLS or LMS operating on its own. Furthermore, the convergence of RLMS is quite insensitive to changes in either signal-to-noise ratio, or the initial value of the input correlation matrix for the RLS section, or the step size adopted for the LMS section.
Evolution of wireless access technologies is about to the reach its fourth generation (4G). The adaptation of smart antenna techniques in future wireless systems is expected to have a significant impact on the efficie...
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ISBN:
(纸本)9783642205729
Evolution of wireless access technologies is about to the reach its fourth generation (4G). The adaptation of smart antenna techniques in future wireless systems is expected to have a significant impact on the efficient use of the spectrum and transparent operation across the multi technology wireless networks. With the rapid growth of wireless data traffic operators are anxious to quickly expand the capacity of their wireless networks. To address these 3GPP standards have incorporated powerful techniques for using so-called smart antennas. This paper focuses on the practical aspects of deploying smart antenna systems in the existing Radio Access Systems (RAS). Smart antenna techniques, such as multiple-input multiple-output (MIMO) systems, can extend the capabilities of 3G and 4G systems to provide customers with increased data throughput for mobile high-speed data applications.
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