2012
DOI: 10.1007/s11277-012-0533-6
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A Robust Least Mean Square Algorithm for Adaptive Array Signal Processing

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Cited by 9 publications
(4 citation statements)
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“…RLS algorithm has better convergence rate as compared to LMS algorithm, but its computational complexity for multiple input multiple output (MIMO) is large. A new approach called MIR-LMS algorithm for an adaptive array applicable for highspeed mobile communication has been reported in [17][18][19]. The re-weighted l 1 -norm penalized scheme for LMS Ʃ algorithm is presented in [20].…”
Section: Normalized Lms (Nlms) Algorithmmentioning
confidence: 99%
“…RLS algorithm has better convergence rate as compared to LMS algorithm, but its computational complexity for multiple input multiple output (MIMO) is large. A new approach called MIR-LMS algorithm for an adaptive array applicable for highspeed mobile communication has been reported in [17][18][19]. The re-weighted l 1 -norm penalized scheme for LMS Ʃ algorithm is presented in [20].…”
Section: Normalized Lms (Nlms) Algorithmmentioning
confidence: 99%
“…Smart antenna array processing [6,41,42,[71][72][73][74][75] is based on the configuration of the spatial correlation matrix at the antenna array. In the design of smart antenna [43,44,76] techniques, system architecture, implementation and complexity limitations need to be considered.…”
Section: Types Of Smart Antennas With Their Principles and Configuratmentioning
confidence: 99%
“…There are various signal processing algorithms such as Least Mean Square (LMS), Recursive Least Square (RLS), Normalized Least Mean Square (NLMS), Fractional least Mean Square (FLMS) and Constant Modulus Algorithm (CMA), etc. The selection of step size is critical in LMS technique because this algorithm is prone to instability, if step size is not selected appropriately [76]. Some of improvement in these LMS algorithms is variable step size LMS algorithms [18,24], variable length LMS algorithm [24], and transform domain algorithms [76].…”
Section: Continuously Adapting the Pattern Towards The Optimal Characmentioning
confidence: 99%
“…Adaptive array technology is an effective anti-jamming measure and has extensive use as its power inversion (PI) array does not require a priori information of the useful signal, interference signal characteristics and incident direction, and it is easy to achieve [7] . The structure of the power inversion array can be shown in Fig.2, where the first array element weight value is set to "1", next make the output power of the array have minimum by adaptive algorithm adjusting the weight value of other elements of the array [8] .…”
Section: Mc-lms Interference Suppression Algorithmmentioning
confidence: 99%