International Conference on Computational Intelligence and Multimedia Applications (ICCIMA 2007) 2007
DOI: 10.1109/iccima.2007.311
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Performance Comparison of a Modified LMS Algorithm in Digital Beam Forming for High Speed Networks

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Cited by 11 publications
(3 citation statements)
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“…Conventional approaches of Beamforming for ULA are relatively mature, such as least mean square(LMS) algorithm [5][6], recursive least square(RLS) [7][8] algorithm, MVDR [9][10][11] algorithm, and other combined algorithms [12][13][14]. The LMS or RLS are two commonly used algorithms for beamforming.…”
Section: Introductionmentioning
confidence: 99%
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“…Conventional approaches of Beamforming for ULA are relatively mature, such as least mean square(LMS) algorithm [5][6], recursive least square(RLS) [7][8] algorithm, MVDR [9][10][11] algorithm, and other combined algorithms [12][13][14]. The LMS or RLS are two commonly used algorithms for beamforming.…”
Section: Introductionmentioning
confidence: 99%
“…The LMS or RLS are two commonly used algorithms for beamforming. The former has good tracking performance with low computational complexity, and is robust against numerical errors [5]. On the other hand, the RLS algorithm can achieve a faster convergence that is independent of the engine-value spread variations of the covariance matrix [7].…”
Section: Introductionmentioning
confidence: 99%
“…For a beamformer with constant weights does not track the signal environment; the resulting because of beam pattern. However, adaptive array may change its pattern automatically in response to the signal environment [4]. …”
Section: Adaptive Beamforming Algorithmsmentioning
confidence: 99%