Adaptive Carrier Tracking for Mars to Earth Communications During Entry, Descent, and Landing

Lopes, Cássio G.; Satorius, E.; Estabrook, Polly; Sayed, Ali H.

doi:10.1109/taes.2010.5595600

Cited by 24 publications

(20 citation statements)

References 17 publications

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“…A novel approach that takes into account the power of data tones was proposed in [19] to enhance carrier recovery performance by up to 3 dB. Lopes et al also designed a robust and low complexity scheme consisting of a bank of adaptive linear predictors supervised by a convex combiner to estimate and track the carrier frequency combined with some additional enhancement techniques [20]. All these aforementioned efforts were made at the receiver side.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Transmission Method for Alleviating the Radio Blackout Problem

He¹,

Zhan²,

Ge³

2015

PIER

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Abstract-The radio blackout problem stands as one long obstacle for hypersonic flight and planetary atmosphere reentry. Rather than previous physical mitigation methods aiming to reduce the plasma electron density, this paper proposes a novel method which attempts to communicate at carrier frequency much higher than the plasma cutoff frequency. To overcome the highly dynamic channel characteristics, the reflected wave is used online to estimate the instantaneous channel states and enable adaptive transmission. According to the predicted channel states, the plasma sheath induced phase shift and amplitude attenuation are compensated by baseband modulation and power adaptation, respectively. Numerical simulations are presented and discussed, in order to illustrate the effectiveness of the proposed method.

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Section: Introductionmentioning

confidence: 99%

Adaptive Transmission Method for Alleviating the Radio Blackout Problem

He¹,

Zhan²,

Ge³

2015

PIER

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“…Other solutions have been proposed, such as data reusing (DR) [22][23][24][25], mixed-norm updates [26][27][28][29], and variable step size (VSS) [30][31][32]. Combinations of AFs, however, have shown several advantages over these techniques in terms of performance and robustness [33][34][35][36][37][38][39][40][41][42][43][44][45][46][47][48][49]. In some cases, it even provides a more general framework under which these adaptive algorithms can be cast (as argued in Chapter 8).…”

Section: Motivationmentioning

confidence: 99%

Combinations of adaptive filters.

Chamon¹

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“…For those reasons and by taking into account that the direct form is convenient when mixing dierently designed AFs as noted by Lopes in [79,80], the experiments and analysis led in this work consider the direct form realization for IIR AFs. In spite of that, we point out that our option for the direct form does not prevent the use of the normalized lattice in the algorithms we propose along this work because, as noted previously, they are functionally equivalent in the sense both can approximate a given transfer function H o (z).…”

Section: Exponential Stability and The Direct Formmentioning

confidence: 99%

“…As the number of experts increases, the hierarchical topology may be employed as an alternative to the standard parallel structure where the components are combined in parallel and in layers, which tends to accelerate convergence [79].…”

Section: Initial Considerationsmentioning

confidence: 99%

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Hybrid convex combinations for IIR system identification.

Ferro¹

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The low complexity of IIR adaptive lters (AFs) is specially appealing to realtime applications but some drawbacks have been preventing their widespread use so far. For gradient based IIR AFs, adverse operational conditions cause convergence problems in system identication scenarios: underdamped and clustered poles, undermodelling or non-white input signals lead to error surfaces where the adaptation nearly stops on large plateaus or get stuck at sub-optimal local minima that can not be identied as such a priori. Furthermore, the non-stationarity in the input regressor brought by the lter recursivity and the approximations made by the update rules of the stochastic gradient algorithms constrain the learning step size to small values, causing slow convergence. In this work, we propose IIR performance enhancement strategies based on hybrid combinations of AFs that achieve higher convergence rates than ordinary IIR AFs while keeping the stability.

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Adaptive Carrier Tracking for Mars to Earth Communications During Entry, Descent, and Landing

Cited by 24 publications

References 17 publications

Adaptive Transmission Method for Alleviating the Radio Blackout Problem

Adaptive Transmission Method for Alleviating the Radio Blackout Problem

Combinations of adaptive filters.

Hybrid convex combinations for IIR system identification.

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