Adaptive compression schemes for housekeeping data

Mes, Jan-Gerd; Schmidt, Robert; Fey, Görschwin

doi:10.1109/aero.2017.7943580

Cited by 8 publications

(6 citation statements)

References 34 publications

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“…All other bits are cut to save downlink budget. The complete compression scheme is described in [9]. From a reliability point of view, although the OR1200 processors on the FPGAs and especially their memories and registers are hardened by duplication or triplication of some of the underlying flip-flops, there is no redundancy at the unit or system level.…”

Section: Fig 1 Data Flowmentioning

confidence: 99%

Improved Test Solutions for COTS-Based Systems in Space Applications

Cantoro

Carbonara

Floridia

et al. 2019

VLSI-SoC: Design and Engineering of Electronics Systems Based on New Computing Paradigms

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In order to widen the spectrum of available products, companies involved in space electronics are exploring the possible adoption of COTS components instead of space-qualified ones. However, the adoption of COTS devices and boards requires suitable solutions able to guarantee the same level of dependability. A mix of different solutions can be considered for this purpose. Test techniques play a major role, since they must guarantee that a high percentage of permanent faults can be detected (both at the end of the manufacturing and during the mission) while matching several constraints in terms of system accessibility and hardware complexity. In this paper we focus on the test of the electronics used within launchers, and outline an approach based on Software-based Self-test. The proposed solutions are currently being adopted within the MaMMoTH-Up project, targeting the development of an innovative COTSbased system to be used on the Ariane5 launcher. The approach aims at testing both the OR1200 processor and the different peripheral modules adopted in the system, while providing new techniques for the identification of safe faults. The results show the effectiveness and current limitations of the method, also including a comparison between functional and structural test approaches.

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Section: Fig 1 Data Flowmentioning

confidence: 99%

Improved Test Solutions for COTS-Based Systems in Space Applications

Cantoro

Carbonara

Floridia

et al. 2019

VLSI-SoC: Design and Engineering of Electronics Systems Based on New Computing Paradigms

View full text Add to dashboard Cite

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“…(a) the gain α k was set to a constant for all k, and it was adjusted to obtain the same effect of the prefactor parameter defined in [24] for the tests with N = 256, (b) the compression rate was computed using the same criteria detailed by Mess et al [24], that is, with no entropy code and a header to inform the position of non-zero coefficients, see also [25].…”

Section: Resultsmentioning

confidence: 99%

“…In summary, the figure 4 shows the performance of the method introduced in [24,25] to the first axis of Mission B.…”

Section: Resultsmentioning

confidence: 99%

“…As in [24,25], this work also uses the peak signal-to-noise ratio (PSNR) to evaluate the quality of the recovered signal, which is computed using the RMSE as a distortion measure. The compression rate and PSNR were computed over the complete recovered data.…”

Section: Compression Algorithmsmentioning

confidence: 99%

“…Studies proposing lossy compression algorithms can also be found in the literature for telemetry data, see [21][22][23]. For vibration sensors, the works of Mess et al analyze the performance of data compressors using the discrete cosine transform (DCT) and the discrete wavelet transform to encode an 8-bit vibration sensor from ARIANE 5 [24,25]. To the best knowledge of the authors, there are few published works devoted to the study of lossy compression of vibration signals from spacecraft telemetry systems and the works of Mess et al are among the main references.…”

Section: Introductionmentioning

confidence: 99%

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Evaluation of lossy compression algorithms using discrete cosine transform for sounding rocket vibration data

Pinto¹,

Maciel²,

Pinho³

et al. 2022

Meas. Sci. Technol.

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This work evaluates the performance of compression algorithms based on Discrete Cosine Transform when used to encode sounding rockets' vibration signals. Different compression methods that use the three-step strategy (transform, quantization, and entropy encoder) are presented. The performances are evaluated using the relationship between the compression rate and distortion, the latter being measured using the Peak Signal-to-Noise Ratio (PSNR) and the difference observed in the Power Spectral Density (PSD). The focus of the work is on vibration signals from rocket launches conducted by the Institute of Aeronautics and Space of the Brazilian Air Force. The obtained results present a great variation for the vibration data in the test set. Compressors operating with PSNR close to 50 dB can achieve very high compression rates (over 100) for low power signals. However, if the vibration signal strength increases significantly, the compression rate can be much lower. For the worst case in the test set (signal with the highest power), the work shows that the best proposed method needs a rate of 9.8 to achieve a PSNR of 48.2 dB. When compared to the performance of recently published DCT-based compression algorithms, the proposed technique shows significant improvements. Given a PSNR around 50 dB, for signal with moderate power, improvements above 100% are observed in compression rate.

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