A. El Zooghby, C. G. Christodoulou and M. Georgiopoulos, “Neural Network Based Adaptive Beamforming for One and Two Dimensional Antenna Arrays,” IEEE Transactions on Antennas and Propagation, Vol. 46, No. 12, 1998, pp. 18919-1893.

has been cited by the following article:

• TITLE: Non-Statistical Multi-Beamformer

  AUTHORS: Nuri Yilmazer, Wonsuk Choi, Tapan Sarkar, Sunmeel Bhumkar

  KEYWORDS: Beamforming; Multiple Beamforming; Direct Data Domain Approach; D3LS; Efficient Beamforming; Single Snapshot

  JOURNAL NAME: Journal of Signal and Information Processing, Vol.3 No.1, February 28, 2012

  ABSTRACT: In this paper, a multiple beamforming technique is presented by using a direct data domain least squares (D3LS) approach. Direct data domain approach is very suitable for real time applications since it utilizes only a single snapshot of data as opposed to statistical approaches where multiple measurements have to be taken and the covariance matrix has to be formed. It is also very effective especially in the case of blinking jammers where the statistical approaches will fail or needs to perform additional tasks to overcome it. It has been previously shown that the D3LS can successfully handle only one or two Signal of Interests (SOI). Here, we have developed a new technique where multiple SOI can be handled simultaneously. Numerical simulations have shown that the new approach can maximize the signals from the direction of the SOI at the same time minimizing the jammers. The new approach can be successfully applied in the satellite communications, Over the Horizon Radars (OTHR) as well as wireless communications to detect or track multiple targets simultaneously.