Tracking and interference suppression performance for the minimal computational complexity non-Eigen decomposition beamformer

Garret Okamoto; Chih-Wei Chen

doi:10.1117/12.859736

28 April 2010 Tracking and interference suppression performance for the minimal computational complexity non-Eigen decomposition beamformer

Garret Okamoto, Chih-Wei Chen

Author Affiliations +

Proceedings Volume 7706, Wireless Sensing, Localization, and Processing V; 77060Y (2010) https://doi.org/10.1117/12.859736
Event: SPIE Defense, Security, and Sensing, 2010, Orlando, Florida, United States

Abstract

This paper evaluates tracking and interference suppression performance for the ultra low computational complexity Non- Eigen Decomposition (NED) blind beamforming algorithm. Current blind beamforming algorithms require computational complexity too high for many target applications. NED does not rely on the eignenvalues and eigenvectors used by conventional algorithms and requires significantly less computations, with a total computational load of O(4M-4) per snapshot for a system with M receiving antennas by approximating the cross correlation vector of the received signals in the reference and other antennas. This technique requires neither a training sequence nor an assumption of incoherency among impinging signals. Simulations show that NED achieves comparable performance as conventional blind beamforming algorithms in tracking, interference suppression, and misadjustment.

Citation Download Citation

Garret Okamoto and Chih-Wei Chen "Tracking and interference suppression performance for the minimal computational complexity non-Eigen decomposition beamformer", Proc. SPIE 7706, Wireless Sensing, Localization, and Processing V, 77060Y (28 April 2010); https://doi.org/10.1117/12.859736

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