Combining genetic algorithm and iterative MUSIC searching DOA estimation for the CDMA system
Expert Systems with Applications: An International Journal
Modified particle swarm optimization structure approach to direction of arrival estimation
Applied Soft Computing
Combining GA and iterative MVDR for DOA estimation in space-time CDMA systems
Computers and Electrical Engineering
An Iterative CFO Estimation Using MVDR Criterion for Interleaved OFDMA Uplink Systems
Wireless Personal Communications: An International Journal
Wireless Personal Communications: An International Journal
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This correspondence presents a new approach to array beamforming in the presence of steering vector errors, such as steering angle and carrier frequency errors. The basic idea is based on the principle that the output power of an optimized beamformer achieves a local maximum if the steering vector coincides with that of the desired signal. The proposed approach iteratively searches for the correct steering vector by maximizing the array mean output power using a first-order Taylor series approximation of the steering vector in terms of the steering errors. This method has the advantages of easy implementation and suffers no loss in the degrees of freedom for interference rejection. Furthermore, the method is independent of the choice of the phase center coordinate origin contrary to derivative constraint methods. Conditions for the existence of a solution using the proposed method are also established