Multiphase Parallel Demodulation for Remote Sensing Satellite Data Transmission—Filter Bank Based on WOLA Structure

Teng, Fei; Jiao, Yiwen; Yang, Wenguo; Yan, Jining; Gao, Zefu; Lu, Zhiwei

doi:10.1109/jstars.2022.3201251

Cited by 3 publications

(3 citation statements)

References 30 publications

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“…Polyphase DFT filter bank technology can effectively parallelize high-speed serial data streams into multi-channel low-speed data, and the reconstruction performance of the original data is good, so it is suitable for development as a unified parallel structure [19]. The structure of M-channel and D-times decimated cascaded complex exponential filter banks is shown in Figure 1, where H m (z) and It is easy to deduce the expressions of each node signal as follows…”

Section: Parallel Structure Based On Polyphase Dft Filter Banksmentioning

confidence: 99%

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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: Parallel Structure Based On Polyphase Dft Filter Banksmentioning

confidence: 99%

“…Therefore, the signal-to-noise ratio of the received signal is usually low, that is, σ 2 v is relatively large. Through calculation, the α 1 value that meets the conditions is −0.0880, which can be obtained by bringing it into Equation (19) and sorting it out.…”

Section: Derivation Of Feedforward Timing Estimation Algorithm Combin...mentioning

confidence: 99%

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

et al. 2023

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“…However, large bandwidth remote sensing satellite data transmission will inevitably lead to the extremely high data sampling rate at the receiver [6], [7]. In this high-speed environment, even a simple filtering operation will lead to the saturation of the hardware processing module, which cannot meet the requirements of real-time demodulation [8], [9]. Therefore, the high parallel of the demodulation module of remote sensing satellite data ground receiver has become an inevitable development trend.…”

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confidence: 99%

Optimization of Multi-Subband Parallel and Signal Reconstruction for Remote Sensing Satellite Data Transmission

Wang,

He,

Yang

et al. 2024

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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The remote sensing satellite is developing toward high resolution, large data capacity, and fast transmission rate. The ground receiver is correspondingly required to have the high parallel to improve real-time reception and processing capabilities. In the frequency domain, the parallel processing of multiple subbands is achieved by dividing broadband into narrow bands. However, narrow-band subbands are reconstructed into broadband signals, which can lead to cross-subband distortion. It will affect the accuracy of high-resolution remote sensing images. In this article, the subband division and reconstruction framework is proposed by combining the analog filter with the digital filter. The phase calibration methods and digital filter optimization are proposed to improve the amplitude and phase consistency of the reconstructed signal. The simulation results show that the proposed amplitude consistency optimization method effectively reduces the reconstruction error within 0.001 dB. The proposed phase calibration method effectively reduces the bit error rate of the reconstructed signal. The maximum deviation is no more than 0.1%. Experiments have shown that the optimization method can reduce the distortion error of high-resolution remote sensing images.

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A New Design Method of Prototype Filter in Efficient Channelized Structure

Teng,

Yang,

Jiao

et al. 2023

2023 International Conference on Artificial Intelligence and Automation Control (AIAC)

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Multiphase Parallel Demodulation for Remote Sensing Satellite Data Transmission—Filter Bank Based on WOLA Structure

Cited by 3 publications

References 30 publications

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

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

Optimization of Multi-Subband Parallel and Signal Reconstruction for Remote Sensing Satellite Data Transmission

A New Design Method of Prototype Filter in Efficient Channelized Structure

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