A kroneeker DFT multi-beamforming implementation approach

Abstract

This ivork presents a new methodology for the hardware implementation of Multi-beurwforming algorithms based on Kronecker products compositions. This new melhodology is based on a signal algebra operator-theoretic approach for the mathematical formulation of signal processing algorithms and efticient systematic procedures for mapping these algorithms to target hardware computing strucrures through iconic and firnctional programming techniques, and automatic core generation efforts. Kronecker products algebra is used in this work as a tool language to identifi in an integrated and coherent manner similarities and ~ diferences between fasr Fourier transform (FFTJ algorithm formulations in order to effect eficient hardware core implementations. The new methodology presented in this work was successfully utilized for the generation of signal processing cores for DSP and FPGA hardware units.

Scalable Connectionless Iconic Programming

“…This is mainly blamed on scalability (19,46): icon-based programming was fine for small sized programs but for commercial sized software with large scale architecture and much more complex logic, the iconic programs became too difficult to understand and work with: program readability was the limiting issue (20). Iconic programming was therefore relegated to the introductory teaching of computer programming where only small programs are attempted (21,22,23,24,25,26,27,10,28,29,30,31,32) and also to specialist programming areas such as distributed process control (33), databases (34,35,36,37,38), image processing (39,40), testing (27,41), distributed systems (42), signal processing (43) and robotics (28,44) where only relatively small coding changes are made. The scalability problem (19) is that large iconic programs became too difficult to design and understand with large amounts of complex code represented as icons connected by lines in large 2D diagrams: the diagrams became too confusing with so many connecting lines.…”