نتایج جستجو برای: linearly constrained minimum variance filter

تعداد نتایج: 486241  

Journal: :IEEJ Transactions on Electronics, Information and Systems 1999

Journal: :IEICE Transactions 2005
Shiunn-Jang Chern Chung-Yao Chang

To support high data rate wireless communications, in this paper, based on the linearly constrained constant modulus (LCCM) criterion, the reverse link performance of the multi-carrier code division multiple access (MC-CDMA) receiver, with frequency combiner, and having smart antenna arrays beamformer in base station, has been investigated over the Rayleigh fading channel. By using the Kronecke...

‎In this paper‎, ‎the notion of the radical of a filter in‎ ‎residuated lattices is defined and several characterizations of‎ ‎the radical of a filter are given‎. ‎We show that if F is a‎ ‎positive implicative filter (or obstinate filter)‎, ‎then‎ ‎Rad(F)=F‎. ‎We proved the extension theorem for radical of filters in residuated lattices‎. ‎Also‎, ‎we study the radical‎ ‎of filters in linearly o...

Journal: :SIAM Journal on Optimization 2004
Charles Audet John E. Dennis

This paper formulates and analyzes a pattern search method for general constrained optimization based on filter methods for step acceptance. Roughly, a filter method accepts a step that either improves the objective function value or the value of some function that measures the constraint violation. The new algorithm does not compute or approximate any derivatives, penalty constants or Lagrange...

2007
Iain SCOTT

This paper is concerned with linearly constrained minimum variance (LCMV) beamforming. Partially adaptive LCMV beamformers are designed by determining a transformation which maps the fully adaptive weight space into a lower dimension partially adaptive weight space, usually so that some set of performance measures is optimised. One common method is to utilise the eigenvectors associated with th...

1995
William A. Gardner

This paper studies the eeect of array calibration errors on the performance of various DF (direction nding) based signal copy algorithms. Unlike blind copy methods, this class of algorithms requires an estimate of the directions of arrival (DOAs) of the signals in order to compute the copy weight vectors. Under the assumption that the observation time is suuciently long, the following algorithm...

Journal: :IEEE Transactions on Signal Processing 2005

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