The objective is to generate a suboptimal weight vector for an adaptive array system operating in a multipath fading CDMA (Code Division Multiple Access) channel. The total computational load of the proposed procedure is about including the update of autocovariance matrix as well as the weight update itself, where N is the number of antenna elements. The performance of the proposed array system is shown in terms of BER (Bit Error Rate), allowable capacity, and convergence rate in practical CDMA signal environments such as IS95 and IS2000 1X.

This letter introduces an alternative adaptive beamforming with the total computational load of about O(3N) where N denotes the number of antenna elements. The proposed technique finds a weight vector that maximizes the received signal power at the array output by searching for the suboptimal phase of each weight in a multipath fading CDMA mobile communication environment.

This paper presents a new on-off beamforming algorithm to provide an optimal weight vector. The proposed algorithm is based on the eigen-space on-off algorithm for exploiting a diversity gain that is available in the signal environments of wide angle spread. The proposed technique utilizes the primary and secondary eigenvectors to form the optimal weight vector, which is robust to the angle spread. It is confirmed in this paper that the proposed algorithm shows excellent performance compared to some typical beamforming methods which degrade the receiving performance as the angle spread increases. It is also shown that the proposed algorithm has a reasonable computational complexity of O(14N) and fast convergent speed, where N is the number of antenna elements.

This paper presents a novel algorithm which generates a beam pattern having maximum gain towards target direction. The new technique utilizes a Generalized Conjugate Gradient Method (CGM) based on the conventional CGM for obtaining the optimal weight vector. The proposed method finds a weight vector that maximizes the SINR (Signal to Interference plus Noise Ratio). Based on the an analysis of the results of various computer simulations, it is observed that the proposed algorithm is suitable for the IS2000 1X mobile communication environments.

This paper proposes a new blind adaptive algorithm for computing the weight vector of an antenna array system. The new technique utilizes a Generalized On-Off algorithm to obtain the weight vector from the pilot channel of IS2000 1X system, of which the processing gain can be controlled arbitrarily. The proposed algorithm generates a suboptimal weight vector maximizing the SINR (signal to interference plus noise ratio) with a linear computational load. Based on the analysis obtained from various simulations, it is observed that the proposed algorithm is suitable for the practical IS2000 1X mobile communication environments.