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This work presents a new structure for an alldigital BPSK demodulator developed for space communications that performs simultaneously the sampling and down conversion from intermediate frequency signal to the baseband signal. A new interpolator is proposed in order to simplify the demodulator implementation. This interpolator correlates the samples of the output signal in such way that it was necessary to design a new data detector appropriate to process the samples corrupted by gaussian and colored noise. The effects of the new interpolation at the noise are analyzed as well as the way it affects the whole demodulator performance. Simulations were performed and the results are presented to confirm theoretical analysis.

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<p>In this paper, we introduce new distributed diffusion algorithms to track a sequence of hidden random matrices that evolve on the special orthogonal group. The algorithms are based on the Adapt-then-Combine and the Random Exchange methods, and diffuse Gaussian approximations of posterior densities computed in the Lie algebra of the special orthogonal group. Simulation results show that, in a scenario with strongly nonlinear observation functions, the proposed algorithms perform similarly to the centralized particle filter estimator and can outperform competing Extended Kalman Filters.</p>