A parallel VLSI architecture of Kalman-filter-based algorithms for signal reconstruction

摘要

The Problem of improving the performance of the implementation in VLSI technology of Kalman-based algorithms for signal reconstruction in real time is discussed. A parallel approahc is proposed to develop a systolic architecture expressly for this specific application. We show that the autoregressive model of Kalman filtering for signal reconstruction is particularly adapted to aprallel processing and is well suited for implementation. Although intended to improve signal reconstruction, other applciations where a similar autoregressive model of Kalman filtering is required are allowed. The performance of the parallel architecture is validated by comparison with Motoroal's general-purpose DSP56002 digital signal for real-world spectrometric signal reconstruction.