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

The problem of improving the performance of the implementation in VLSI tech nology of Kalman-based algorithms for signal reconstruction in real time is discussed. A parallel approach is proposed to develop a systolic architect ure expressly for this specific application. We show that the autoregressiv e model of Kalman filtering for signal reconstruction is particularly adapt ed to parallel processing and is well suited for implementation. Although i ntended to improve signal reconstruction, other applications where a simila r autoregressive model of Kalman filtering is required are allowed. The per formance of the parallel architecture is validated by comparison with Motor ola's general-purpose DSP56002 digital signal for real-world spectrometric signal reconstruction. (C) 1999 Elsevier Science B.V. All rights reserved.