Title :
A linearly constrained minimization approach for time-frequency kernel design
Author :
Amin, Moeness G. ; Carroll, James F.
Author_Institution :
Villanova Univ., PA, USA
Abstract :
This paper introduces a new approach for time-frequency distribution kernel design. In this approach, the desired time-frequency properties are obtained as a solution of linearly constrained minimization problem. The problem is presented in a matrix form in which the desired t-f linear constraints constitute a constraint matrix and the time-frequency kernel is one dimensional. This formulation permits a closed form solution, similar to that encountered in beam forming, where the Quiescent pattern corresponds to the Born-Jordan kernel. The constraint matrix can be augmented by other point and derivative constraints which extend the solution space to include kernels with various characteristics
Keywords :
array signal processing; constraint theory; matrix algebra; minimisation; time-frequency analysis; Born-Jordan kernel; Quiescent pattern; array signal processing; beamforming; closed form solution; constraint matrix; derivative constraints; linearly constrained minimization; matrix form; solution space; t-f linear constraints; time-frequency kernel design; time-frequency properties; Antenna arrays; Array signal processing; Closed-form solution; Design methodology; Interference constraints; Kernel; Linearity; Low pass filters; Minimization methods; Time frequency analysis;
Conference_Titel :
Signals, Systems and Computers, 1993. 1993 Conference Record of The Twenty-Seventh Asilomar Conference on
Conference_Location :
Pacific Grove, CA
Print_ISBN :
0-8186-4120-7
DOI :
10.1109/ACSSC.1993.342559