2134/5774 Leilei Li Leilei Li Jonathon Chambers Jonathon Chambers Cassio G. Lopes Cassio G. Lopes Ali H. Sayed Ali H. Sayed Distributed estimation over an adaptive incremental network based on the affine projection algorithm Loughborough University 2010 Adaptive filters Affine projection algorithm Distributed estimation Energy conversation Mechanical Engineering not elsewhere classified 2010-01-11 12:37:10 Journal contribution https://repository.lboro.ac.uk/articles/journal_contribution/Distributed_estimation_over_an_adaptive_incremental_network_based_on_the_affine_projection_algorithm/9562304 We study the problem of distributed estimation based on the affine projection algorithm (APA), which is developed from Newton's method for minimizing a cost function. The proposed solution is formulated to ameliorate the limited convergence properties of least-mean-square (LMS) type distributed adaptive filters with colored inputs. The analysis of transient and steady-state performances at each individual node within the network is developed by using a weighted spatial-temporal energy conservation relation and confirmed by computer simulations. The simulation results also verify that the proposed algorithm provides not only a faster convergence rate but also an improved steady-state performance as compared to an LMS-based scheme. In addition, the new approach attains an acceptable misadjustment performance with lower computational and memory cost, provided the number of regressor vectors and filter length parameters are appropriately chosen, as compared to a distributed recursive-least-squares (RLS) based method.