Title :
Beamforming design with partially adaptive and minimum redundancy arrays
Author :
Presti, Letizia Lo ; Montalbano, G. ; Povero, G.
Author_Institution :
Dipartimento di Elettronica, Politecnico di Torino, Italy
Abstract :
This paper proposes a beamforming design method for interference cancellation using a special thinned array structure, termed minimum redundancy array (MRA). MRA is analyzed with partially adaptive beamforming design techniques and compared with corresponding uniform regular array (URA) over a set of likely interference scenarios. The partially adaptive beamformer design is subject to worst-case performance constraints. Extensive numerical simulations with several sets of interference scenarios show that MRA almost always outperforms URA, in both cases of fully adaptive beamformers and of partially adaptive beamformers. We also introduce a design criterion to take into account both the array geometry and partially adaptive beamforming methods
Keywords :
adaptive antenna arrays; adaptive signal processing; array signal processing; direction-of-arrival estimation; interference suppression; DOA; adaptive antenna arrays; array geometry; beamforming design; interference cancellation; minimum redundancy arrays; numerical simulations; partially adaptive arrays; partially adaptive beamforming methods; thinned array structure; worst case performance constraints; Adaptive arrays; Array signal processing; Covariance matrix; Degradation; Design methodology; Geometry; Interference cancellation; Interference constraints; Radar antennas; Sensor arrays;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1996. ICASSP-96. Conference Proceedings., 1996 IEEE International Conference on
Conference_Location :
Atlanta, GA
Print_ISBN :
0-7803-3192-3
DOI :
10.1109/ICASSP.1996.550551