Adaptive estimation of optimal combination weights for partial-diffusion Kalman filtering together with its mean convergence and sta-bility analysis is proposed here. The simulations confirm its superiorperformance compared with the existing combiners. Sensor networkswith limited accessible power highly benefit from this design.
