A Decentralized Parallel One-Pass Fixed-Interval Deconvolution Algorithm for Multisensor Systems with Multiplicative Noises

摘要

A decentralized parallel one-pass dcconvolution algorithm for multisensor systems with multiplicative noises is proposed. Comparing with the conventional dcconvolution algorithm, it avoids the computational overload and the high storage requirement. The algorithm is optimal in the sense of linear minimum-variance. The simulation results illustrate the validity of the proposed algorithm.