Title :
A linear systolic array for recursive least squares
Author :
Lorenzelli, Flavio ; Yao, Kung
Author_Institution :
Dept. of Electr. Eng., California Univ., Los Angeles, CA, USA
fDate :
12/1/1995 12:00:00 AM
Abstract :
Classical systolic design procedures rely on linear or affine space-time transformations because of the well-understood properties of linear operations. In order to increase the efficiency of the final processor, various ad hoc manipulations applied to transformations that appeared to be nonlinear at the physical array level have been proposed. Folding is one of these possible transformations. The authors show that folding can actually be considered to be an overall linear procedure by artificially increasing the dimensionality of the dependence graph of the algorithm. A 1-D array for recursive least squares is also derived as an application of a systematic linear design procedure including folding
Keywords :
adaptive antenna arrays; antenna arrays; array signal processing; least squares approximations; parallel algorithms; recursive estimation; systolic arrays; 1-D array; dependence graph; dimensionality; efficiency; linear systolic array; overall linear procedure; physical array level; recursive least squares; Adaptive arrays; Algorithm design and analysis; Design methodology; Least squares methods; Physics computing; Processor scheduling; Resonance light scattering; Shape control; Signal processing algorithms; Systolic arrays;
Journal_Title :
Signal Processing, IEEE Transactions on