From Modeling to Sensing of Micro-Doppler in Radio Communications

Morge-Rollet, Louis; Jeune, Denis Le; Roy, Frédéric Le; Canaff, Charles; Gautier, Roland

doi:10.3390/rs14246310

Cited by 1 publication

(1 citation statement)

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“…After receiving the remote sensing signal, it first goes through front-end sampling, frequency conversion, and filtering. Then it is sent to the timing synchronization module, which realizes the estimation and correction of the timing deviation, thus reducing the decision error and improving the accuracy of transmission [20,21]. Finally, it is sent to the back-end processing module to restore the remote sensing image.…”

Section: Basic Principle Of Feedforward Timing Error Estimationmentioning

confidence: 99%

A Parallel Solution of Timing Synchronization in High-Speed Remote Sensing Data Transmission

et al. 2023

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Considering the problem that the timing synchronization calculation in high-speed remote sensing signal reception is complex and it is difficult for it to be parallel, this paper deduces and designs a parallel timing error estimation and correction scheme. This paper presents the design of polyphase DFT filter banks with non-maximum decimation. The feedforward timing error estimation and correction method is then improved to enhance synchronization performance. Finally, an implementation scheme for parallel timing error estimation and correction is proposed using the polyphase filter bank time domain decomposition method and the filter polyphase model. In the estimation module, the parallel implementation structure of the joint second-order and fourth-order cyclic statistics methods is designed, which improves the estimation accuracy. In the correction module, a fractional delay filtering method with higher accuracy is adopted in order to improve the calibration accuracy and reduce the computational complexity. The timing synchronization of a high-speed remote sensing signal with timing error is simulated and verified. The experimental results show that the parallel method proposed in this paper greatly reduces the processing speed of subband data, and has a good synchronization performance, which is close to the theoretical limit in the demodulation error rate. This paper utilizes a multi-phase DFT filter bank architecture to achieve parallel timing synchronization, which presents a novel approach for the future parallel reception of high-speed remote sensing signals.

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Section: Basic Principle Of Feedforward Timing Error Estimationmentioning

confidence: 99%