Title :
Envelope constrained filter with linear interpolator
Author :
Vo, Ba-Ngu ; Cantoni, Antonio ; Teo, Kok Lay
Author_Institution :
Telecommun. Res. Inst., Curtin Univ. of Technol., Bentley, WA, Australia
fDate :
6/1/1997 12:00:00 AM
Abstract :
The envelope constrained (EC) filtering problem is the minimization of the noise gain of the filter while satisfying the constraint that its noiseless response to a specified input lies within a prescribed envelope. Using a hybrid filter consisting of an A/D converter, an FIR filter, and a linear interpolator, the problem is posed as a functional inequality constrained optimization problem. A technique for solving this problem is proposed by approximating it with a conventional unconstrained optimization problem that is then solved by a descent direction-based algorithm
Keywords :
FIR filters; analogue processing circuits; functional equations; interpolation; iterative methods; minimisation; A/D converter; FIR filter; conventional unconstrained optimization problem; descent direction-based algorithm; envelope constrained filter; functional inequality constrained optimization problem; hybrid filter; linear interpolator; minimization; noise gain; noiseless response; Australia; Digital filters; Filtering; Finite impulse response filter; Least squares approximation; Nonlinear filters; Radar antennas; Radar signal processing; Signal design; Signal processing algorithms;
Journal_Title :
Signal Processing, IEEE Transactions on