The article was published online on February 27, 2012 with the acknowledgment missing. It was purely an unintentional error for which the authors regret.
The article was published online on February 27, 2012 with the acknowledgment missing. It was purely an unintentional error for which the authors regret.
We have noticed a typographical mistake in Eq. (2) of Ref. 1. This typo does not invalidate any of our results, plots, and scientific conclusions. The authors r
We have noticed a typographical mistake in Eq. (2) of Ref. 1. This typo does not invalidate any of our results, plots, and scientific conclusions. The authors r
An adaptive antenna array system adjusts the main lobe of radiation pattern in the direction of desired signal and points the nulls in the direction of undesired signals or interferers. The essential goal of beamformi...
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An adaptive antenna array system adjusts the main lobe of radiation pattern in the direction of desired signal and points the nulls in the direction of undesired signals or interferers. The essential goal of beamforming is to reduce the complexity of weighting process and to decrease the time needed for adjusting the antenna radiation pattern. In this article a new adaptive weighting algorithm is proposed for both least mean squares (LMS) and constant modulus (CM) algorithms. It is appropriate and applicable for antenna array systems with moving targets and also mobile applications as well as sensor networks. By predicting the relative velocity of source, the next location of the source will be estimated and the array weights will be determined using LMS or CM algorithm before arriving to the new point. For the next time associated to the new sampling point, evaluated weights will be used. Furthermore, by updating these weights between two consecutive times the effects of error propagation will be eliminated. Therefore, in addition to reduction in computational complexity at the time of weight allocation, relatively accurate weight allocation can be obtained. Simulation results of this investigation show that the angular error related to both LMS-based and CM-based algorithms is less than the conventional LMS and CM algorithms at different signal to noise ratios (SNRs). On the other hand, due to considering off-line process, online computational complexity of new algorithms is slightly low with respect to previous ones.
In a recent paper published,1 a metamaterial microstrip antenna of broad bandwidth (at about 10 times of the conventional microstrip antenna) and high gain was
In a recent paper published,1 a metamaterial microstrip antenna of broad bandwidth (at about 10 times of the conventional microstrip antenna) and high gain was
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