Title :
Robust Wideband Beamforming by the Hybrid Steepest Descent Method
Author :
Slavakis, Konstantinos ; Yamada, Isao
Author_Institution :
Univ. of Athens, Athens
Abstract :
This paper uses the hybrid steepest descent method (HSDM) to design robust smart antennas. Several design criteria as well as robustness are mathematically described by a finite collection of closed convex sets in a real Euclidean space. Desirable beamformers are defined as points of the generalized convex feasible set which is well defined even in the case of inconsistent design criteria. A quadratic cost function is formed by the correlations of the incoming data, and the HSDM constructs a point sequence that (strongly) converges to the (unique) minimizer of the cost function over the generalized convex feasible set. Numerical examples validate the proposed design.
Keywords :
adaptive antenna arrays; array signal processing; broadband antennas; correlation methods; Euclidean space; HSDM; closed convex sets; generalized convex feasible set; hybrid steepest descent method; quadratic cost function; smart antennas; wideband beamforming; Antenna arrays; Array signal processing; Broadband antennas; Cost function; Microphone arrays; Microstrip antenna arrays; Radar antennas; Robustness; Sensor arrays; Wideband; Convex feasibility problems; fixed point theory; hybrid steepest descent method; wideband beamforming;
Journal_Title :
Signal Processing, IEEE Transactions on
DOI :
10.1109/TSP.2007.896252