Title :
Application of a least squares predictive-transform modeling methodology to space-time adaptive array processing
Author :
Guerci, Joseph R. ; Feria, Erlan H.
Author_Institution :
Dept. of Electr. Eng., Polytech. Univ., Brooklyn, NY, USA
fDate :
7/1/1996 12:00:00 AM
Abstract :
In a companion paper, an efficient least squares (LS) predictive transform (PT) multichannel modeling framework was presented that arose as an inherent byproduct of the optimization of a PT signal source “encoder.” In this correspondence, the LS PT approach is applied to the space-time adaptive array processing problem arising in airborne moving target indicator (MTI) radar. Simulation results are presented that demonstrate the utility of the LS PT approach
Keywords :
adaptive signal processing; airborne radar; array signal processing; least squares approximations; optimisation; phased array radar; prediction theory; radar clutter; radar signal processing; PT signal source encoder; airborne moving target indicator radar; airborne side looking phased array radar; clutter cancellation; least squares predictive-transform modeling methodology; multichannel modeling; optimization; simulation; space-time adaptive array processing; Adaptive arrays; Adaptive signal processing; Airborne radar; Antenna arrays; Array signal processing; IIR filters; Least squares methods; Predictive models; Radar antennas; Radar applications;
Journal_Title :
Signal Processing, IEEE Transactions on
