Proceedings ArticleDOI
Efficient Adaptive Carrier Tracking for Mars to Earth Communications During Entry, Descent and Landing
Cassio G. Lopes,E. Satorius,P. Estabrook,Ali H. Sayed +3 more
- pp 517-521
TLDR
In this article, a robust and low complexity scheme to estimate and track carrier frequency from the received signals at the Earth end is proposed, which employs a hierarchical arrangement of convex linear prediction cells that is dynamically adapted to respond to channel conditions.Abstract:
In the Mars rover missions the signals transmitted back to Earth travel under low SNR conditions in highly non-stationary channels [1, 2]. During the entry, descent and landing phase (EDL), the spacecraft high dynamics yields severe Doppler effects. We propose a robust and low complexity scheme to estimate and track carrier frequency from the received signals at the Earth end. The method employs a hierarchical arrangement of convex linear prediction cells that is dynamically adapted to respond to the channel conditions. The adaptive combination is able to outperform the best individual estimator in the set, leading to a universal scheme for frequency estimation and tracking. In order to compensate the lag error effect, we explore an efficient forward and backward aggregation scheme that improves considerably the frequency RMS error as compared to the original method [3].read more
Citations
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Journal ArticleDOI
Diffusion Least-Mean Squares Over Adaptive Networks: Formulation and Performance Analysis
Cassio G. Lopes,Ali H. Sayed +1 more
TL;DR: Closed-form expressions that describe the network performance in terms of mean-square error quantities are derived and the resulting algorithm is distributed, cooperative and able to respond in real time to changes in the environment.
Proceedings ArticleDOI
Combination of adaptive filters with coefficients feedback
TL;DR: A more natural way of accelerating the convergence to steady-state is proposed, using a cyclic feedback of the overall weights to all component filters, instead of a unidirectional conditional transfer.
Journal ArticleDOI
Adaptive Carrier Tracking for Mars to Earth Communications During Entry, Descent, and Landing
TL;DR: It is shown that retrieval of frequency content by a fast Fourier transform-search method, instead of only inspecting the angle of a particular root of the error predictor filter, enhances performance, particularly at very low SNR levels.
Proceedings ArticleDOI
Incremental-cooperative strategies in combination of adaptive filters
Wilder B. Lopes,Cassio G. Lopes +1 more
TL;DR: Two new algorithms are derived from the new topology based on incremental strategies that rearranged the standard convexly combined parallel-independent filters into a series-cooperative configuration without changing the computational complexity.
Proceedings ArticleDOI
Incremental combination of RLS and LMS adaptive filters in nonstationary scenarios
Wilder B. Lopes,Cassio G. Lopes +1 more
TL;DR: This work shows that the incremental combination is extended to account for AFs with different adaptive rules, and that the new structure is meansquare universal in terms of the combining parameter, particularly in nonstationary scenarios with highly-correlated signals.
References
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Journal ArticleDOI
Single tone parameter estimation from discrete-time observations
D. Rife,R. Boorstyn +1 more
TL;DR: Estimation of the parameters of a single-frequency complex tone from a finite number of noisy discrete-time observations is discussed and appropriate Cramer-Rao bounds and maximum-likelihood estimation algorithms are derived.
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Estimation of frequencies of multiple sinusoids: Making linear prediction perform like maximum likelihood
Donald W. Tufts,Ramdas Kumaresan +1 more
TL;DR: In this paper, the frequency estimation performance of the forward-backward linear prediction (FBLP) method was improved for short data records and low signal-to-noise ratio (SNR) by using information about the rank M of the signal correlation matrix.
Journal ArticleDOI
Universal prediction
Neri Merhav,Meir Feder +1 more
TL;DR: Both the probabilistic setting and the deterministic setting of the universal prediction problem are described with emphasis on the analogy and the differences between results in the two settings.
Journal ArticleDOI
Time series modelling and maximum entropy
Tad J. Ulrych,Robert W. Clayton +1 more
TL;DR: In this article, the authors briefly review the principles of maximum entropy spectral analysis and the closely related problem of autoregressive time series modelling and discuss the important aspect of model identification.