Title :
Interference Cancellation and Signal Direction Finding with Low Complexity
Author :
Schmieder, Lance ; Mellon, Don ; Saquib, Mohammad
Author_Institution :
Univ. of Texas at Dallas, Dallas, TX, USA
fDate :
7/1/2010 12:00:00 AM
Abstract :
We propose a novel beamforming algorithm for a three-element system that suppresses an interference signal while still being able to measure a target´s interferometer phases. Unlike most direction-of-arrival (DOA) estimation algorithms, our algorithm does not use a grid search. Instead the estimates result from a closed-form solution, a great advantage in time-sensitive applications. The derivation of the algorithm is presented, and its statistical performance is examined with simulations. Additionally, our numerical results demonstrate that our algorithm is capable of achieving more reliable DOA estimates than those found with the well-known multiple signal classification (MUSIC) algorithm. Finally, a radar signal processing example is presented.
Keywords :
Array signal processing; Classification algorithms; Closed-form solution; Direction of arrival estimation; Interference cancellation; Interference suppression; Multiple signal classification; Phase measurement; Radar signal processing; Signal processing algorithms;
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on
DOI :
10.1109/TAES.2010.5545173