Frequency estimation techniques for high dynamic trajectories

Vilnrotter, V.; Hinedi, S.; Kumar, R.

doi:10.1109/7.32088

Cited by 64 publications

(45 citation statements)

References 5 publications

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“…We still consider this parameter estimation problem in the maximum likelihood (ML) estimation framework as analyzed by Vilnrotter and Satorius [12,14]. The ML estimates of the signal parameters are those values that simultaneously maximize the conditional joint probability density of the observation vector, conditioned on the signal parameters.…”

Section: Signal Model and Problem Formulationmentioning

confidence: 99%

“…Although ML estimation does not designate which parameter should be estimated first, the given maximum energy search approach follows the interpretation that the raw signal samples are first compensated by a hypothesized Doppler dynamic phase model; then, the modified samples are used to make a periodogram estimation, as shown in Equation (13) [12]:…”

Section: Signal Model and Problem Formulationmentioning

confidence: 99%

“…Vilnrotter, et al [12] give that the corresponding ML estimation for each parameter of interest, which are given without derivation, are as follows:…”

Section: Signal Model and Problem Formulationmentioning

confidence: 99%

“…Following the general description in Vilnrotter, et al [12], the complex envelope of the received signal including the downlink carrier from the spacecraft could be modeled as:…”

Section: Signal Model and Problem Formulationmentioning

confidence: 99%

“…The influence Remote Sens. 2018, 10, 1259 9 of 28 of residual Doppler dynamics on energy loss in the coherent summation could be computed by the following coherence loss function [12]:…”

Section: Selection Of Processing Parametersmentioning

confidence: 99%

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Direct Instantaneous Frequency Rate Estimation to Improve the Carrier Estimation Performance in Mars Entry, Descent, and Landing Flight

et al. 2018

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This paper focuses on the carrier estimation performance improvement in Mars entry, descent, and landing (EDL) flights. Carrier reconstruction could be used for trajectory derivation and Martian atmosphere profile inversion, and is the critical information for mission operations, as it helps determine the flight status of the spacecraft, demodulate the downlink information. The current approach is maximum likelihood estimation based on a two-dimensional (2D) maximum energy search algorithm, which computes the grid energy over all the combinations of frequency cells and frequency rate cells among the search space. Although it has good performance on robust estimation, the frequency estimation accuracy is limited due to the short coherent integration. An instantaneous frequency rate tracking approach based on the cubic phase function (CPF) is proposed that directly estimates the instantaneous frequency rate over the frequency rate cells, followed by the frequency estimation among the frequency cells. A sequential estimation method is introduced to propose the sequential CPF statistics, which uses the a priori Doppler phase information to suppress the noise squaring loss inherent in the standard CPF statistics. Simulations have been made on the released Mars Science Laboratory EDL trajectory for the two approaches, which show that considerable estimation improvement has been achieved for aerobraking flight by the new algorithm.

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Section: Signal Model and Problem Formulationmentioning

confidence: 99%

Section: Signal Model and Problem Formulationmentioning

confidence: 99%

“…Vilnrotter, et al [12] give that the corresponding ML estimation for each parameter of interest, which are given without derivation, are as follows:…”

Section: Signal Model and Problem Formulationmentioning

confidence: 99%

“…Following the general description in Vilnrotter, et al [12], the complex envelope of the received signal including the downlink carrier from the spacecraft could be modeled as:…”

Section: Signal Model and Problem Formulationmentioning

confidence: 99%

“…The influence Remote Sens. 2018, 10, 1259 9 of 28 of residual Doppler dynamics on energy loss in the coherent summation could be computed by the following coherence loss function [12]:…”

Section: Selection Of Processing Parametersmentioning

confidence: 99%

See 3 more Smart Citations