Title :
Beamforming using locally optimum performance indicator model fitting
Author :
Schmidt, Hank ; Bond, James W.
Author_Institution :
Technol. Service Corp., USA
Abstract :
Amplitude adaptive locally optimum processing (ALOP) algorithms has been defined for suppression of large interference signals in direct sequence spread spectrum communication channels. Spatial beamforming and statistical signal processing techniques can be near-optimally integrated when indicators of the performance of statistical signal processing can be used to select matching beamforming directions. We demonstrate the use of the square amplitude variance (as a function of beamsteering angle) as an indicator from which optimal beamforming directions for ALOP can be derived
Keywords :
adaptive signal processing; array signal processing; interference suppression; least squares approximations; pseudonoise codes; spread spectrum communication; statistical analysis; telecommunication channels; ALOP algorithms; amplitude adaptive locally optimum processing; beamsteering angle; direct sequence spread spectrum communication channels; interference signals; interference suppression; locally optimum performance indicator; matching beamforming directions selection; model fitting; nonlinear least squares estimation; optimal beamforming directions; spatial beamforming; square amplitude variance; statistical signal processing; Adaptive signal processing; Array signal processing; Bonding; Directive antennas; Interference suppression; Kernel; Signal processing; Signal processing algorithms; Spread spectrum communication; Surveillance;
Conference_Titel :
Military Communications Conference, 1995. MILCOM '95, Conference Record, IEEE
Conference_Location :
San Diego, CA
Print_ISBN :
0-7803-2489-7
DOI :
10.1109/MILCOM.1995.483289
