DocumentCode :
231463
Title :
A new broadband beamformer with fixed feedback weights
Author :
Kai Wu ; Tao Su ; Jinhao Pang
Author_Institution :
Nat. Lab. of Radar Signal Process., Xidian Univ., Xi´an, China
fYear :
2014
fDate :
19-23 Oct. 2014
Firstpage :
271
Lastpage :
276
Abstract :
Along with the increase of signal´s bandwidth, large number of tapped delay lines (TDL) will be needed in the TDL-based beamformers to retain the desired signal to interference pulse noise ratio (SINR), which slows down the convergence and increases computational load. To solve the problem, a new broadband beamformer based on the generalized sidelobe canceller (GSC) beamformer is designed. Only one feedback branch with fixed feedback weights is introduced, thus it´s stable inherently. The unconstrained recursive Gauss-Newton (RGN) algorithm is applied to compute all the feedforward weights as a whole. Simulation results show comparable performance of the proposed method against those existing broadband beamformers having feedback branches with faster convergence rate, stronger interference suppression and less computational load.
Keywords :
Newton method; array signal processing; delay lines; interference suppression; GSC beamformer; RGN algorithm; SINR; TDL-based beamformers; broadband beamformer; computational load; feedback weights; feedforward weights; generalized sidelobe canceller beamformer; interference suppression; recursive Gauss-Newton algorithm; signal to interference pulse noise ratio; signals bandwidth; tapped delay lines; Broadband communication; Convergence; Feedforward neural networks; Interference; Signal to noise ratio; Steady-state; Vectors; Beamformer; Fixed feedback weights; GSC; Recursive Gauss-Newton; Tapped Delay Line;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing (ICSP), 2014 12th International Conference on
Conference_Location :
Hangzhou
ISSN :
2164-5221
Print_ISBN :
978-1-4799-2188-1
Type :
conf
DOI :
10.1109/ICOSP.2014.7015011
Filename :
7015011
Link To Document :
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