Title :
On the formal derivation of a systolic array for recursive least squares estimation
Author :
Moonen, Marc ; Proudler, Ian K. ; Whirter, John G Mc ; Hekstra, Gerben
Author_Institution :
ESAT, Katholieke Univ., Leuven, Belgium
Abstract :
A formal proof is presented, for the first time, for a recently developed systolic array for recursive least squares estimation proposed by Moonen and McWhirter (see Electronics Letters, 1993). The derivation of this array is non-trivial due to the presence of feedback loops and data contra-flow in the underlying signal flow graph (SFG). This would normally prohibit pipelined processing. However, it is shown that suitable delays may be introduced to the SFG by performing simple algorithmic transformations which compensate for the interference of crossing data flows and eliminate the critical feedback loops. The pipelined systolic array is then obtained either by 2-slowing and retiming the SFG or by means of dependence graph scheduling and assignment
Keywords :
least squares approximations; parallel algorithms; pipeline processing; recursive estimation; signal flow graphs; systolic arrays; algorithmic transformations; data contra-flow; delays; dependence graph assignment; dependence graph scheduling; feedback loops; formal proof; interference; non-trivial derivation; pipelined processing; pipelined systolic array; recursive least squares estimation; signal flow graph; systolic array; Covariance matrix; Delay; Feedback loop; Flow graphs; Interference elimination; Least squares approximation; Least squares methods; Resonance light scattering; Systolic arrays; Throughput;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1994. ICASSP-94., 1994 IEEE International Conference on
Conference_Location :
Adelaide, SA
Print_ISBN :
0-7803-1775-0
DOI :
10.1109/ICASSP.1994.389621