Title :
Signal direction finding for low complexity radar
Author :
Schmieder, L. ; Mellon, D. ; Saquib, M.
Author_Institution :
Univ. of Texas at Dallas, Richardson, TX
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 not only requires lower computation but also is capable of achieving more reliable DOA estimates than those found with the well known multiple signal classification (MUSIC) algorithm.
Keywords :
direction-of-arrival estimation; interference (signal); radar signal processing; signal classification; statistical analysis; beamforming algorithm; direction-of-arrival estimation; interference signal; interferometer phase; low complexity radar; multiple signal classification; signal direction finding; statistical performance; Algorithm design and analysis; Array signal processing; Costs; Direction of arrival estimation; Interference; Jamming; Maximum likelihood estimation; Multiple signal classification; Radar tracking; Receiving antennas;
Conference_Titel :
Waveform Diversity and Design Conference, 2009 International
Conference_Location :
Kissimmee, FL
Print_ISBN :
978-1-4244-2970-7
Electronic_ISBN :
978-1-4244-2971-4
DOI :
10.1109/WDDC.2009.4800304