Sparse Multiband Signal Acquisition Receiver With Co-Prime Sampling

Zhao, Yijiu; Xiao, Shuangman

doi:10.1109/access.2018.2829762

Cited by 20 publications

(5 citation statements)

References 29 publications

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“…Since x A (t) is a WSS signal which has the characteristics expressed by (15), E{z A (f )[z A (f )] H } is a diagonal matrix.…”

Section: Reconstruction Methods Of A-mwcmentioning

confidence: 99%

“…In recent years, several compressed sampling structures have been proposed and improved, such as random demodulation [11]- [13], multi-coset sampling [10], [14], MWC [15]- [18] and so on. Random demodulation can sense the discrete spectrum and reconstruct a multi-tone signal, but it is difficult to be compatible with a piecewise continuous multiband spectrum.…”

Section: Introductionmentioning

confidence: 99%

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Design of Broadband Compressed Sampling Receiver Based on Concurrent Alternate Random Sequences

Wang

You

2019

IEEE Access

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Modulated wideband converter (MWC) is a multi-branch sub-Nyquist sampling structure for processing the spare wideband signals. By mixing with a periodic pseudo-random bit sequence (PRBS), each branch of MWC compresses the information of the input signal into a narrow baseband which can be sampled at low speed. Based on the several sampling sequences, the input signals can be reconstructed by compressed sensing (CS) optimization algorithms. However, the classic MWC (C-MWC) still consumes a lot of hardware resources because of its complex structure. Especially when the spectrum is blind, the total sampling rate is required to be four times the Landau rate for joint sparse reconstruction. To solve this problem, this paper proposes alternate MWC (A-MWC). A-MWC replaces the periodic PRBSes with two sets of alternating PRBSes and uses a trigger to synchronize the PRBSes and the sample sequences. Based on a reasonable assumption that the input signals are the wide-sense stationary (WSS) signals which have the same power spectral density (PSD) in each time slice, this paper reduces the requirement the sampling rate for blind joint sparse reconstruction to twice Landau rate successfully. Both simulation and experiment prove that A-MWC reduces the number of branches required for blind reconstruction without reducing the quality of the reconstructed signal.INDEX TERMS Modulated wideband converter, compressed sensing, hardware implementation, cognitive radio, wide-sense stationary signal.

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“…Since x A (t) is a WSS signal which has the characteristics expressed by (15), E{z A (f )[z A (f )] H } is a diagonal matrix.…”

Section: Reconstruction Methods Of A-mwcmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Design of Broadband Compressed Sampling Receiver Based on Concurrent Alternate Random Sequences

Wang

You

2019

IEEE Access

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“…Also, in the subband case, not all combinations of desired frequency bands can be supported. While co-prime subsampling has also been investigated for multiband data acquisition, this requires multiple ADCs [26], [27].…”

Section: Single-chain Tunable Multiband Receiversmentioning

confidence: 99%

Concurrent Multiband Direct RF Sampling Receivers

Henthorn

O’Farrell

Anbiyaei

et al. 2023

IEEE Trans. Wireless Commun.

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Direct radio frequency (RF) sampling receivers are investigated for use in concurrent multiband reception for mobile broadband (MBB) applications. The recent proliferation of different frequency bands and standards in wireless communications has allowed large increases in mobility and throughput, but the number of receivers in a device is limited by physical space and power consumption. Software Defined Radio (SDR) is increasingly being explored to reduce the number of analog RF components required. This paper examines the use of direct RF digitization, allowing tunable and concurrent reception of multiple bands with a single RF front-end. Full mathematical models of both Nyquist and subband sampling receivers are presented and used to investigate a quadband LTE receiver, which is modeled in Simulink and implemented in a hardware-in-theloop (HWIL) testbed. Individual bands are simulated to have at worst -95dBm sensitivity for 16-QAM with Nyquist sampling and -83dBm with subband sampling. Desensitization of the receivers due to multiband processing is evaluated theoretically and experimentally, showing a maximum of 3dB degradation, which is within the LTE standard for adjacent band interference.

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“…Beyond that, it has a strong self-learning ability. Therefore, the BP neural network algorithm is introduced into the PID control to create a new type of controller -BP neural network PID controller [8].…”

Section: Introductionmentioning

confidence: 99%

Active-Passive Combined Control System in Crane Type for Heave Compensation

et al. 2019

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For the purpose of researching the displacement control system of heave compensation for offshore drilling platform, a set of crane type active and passive combined heave compensation device are designed on the basis of the similarity principle. As it known that platform heaving will be caused by the wind, sea wave and ocean current when conducting the drilling operations on the offshore drilling platform, which then will disturb the drilling operation. Therefore, the compensation device must be adopted to keep the vertical relative motion between the drill string system and the drilling platform to zero during the operation. Meanwhile, to improve the real-time performance of the heave compensation, the control system is optimized by establishing the simulation model of the active-passive combined crane, and LS-SVM(Least Squares Support Vector Machine) is improved by the artificial immune algorithm to predict the motion trend of offshore platforms. Eventually, in order to acquire the best control scheme, the Proportion Integration Differentiation (PID), fuzzy PID, BP neural network PID control method are utilized to carry out the simulation analysis, and the BP neural network PID control is found to be the optimum. Experiments showed that after using the BP neural network PID control algorithm, the displacement compensation rate of hook for active-passive combined crane device is more than 90%, the performance of the heave compensation is better, and the control is in time. INDEX TERMS Heave compensation, least squares support vector machine, BP neural network, PID control. FIGURE 1. Schematic diagram of crane type active-passive combined heave compensation device.

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Sparse Multiband Signal Acquisition Receiver With Co-Prime Sampling

Cited by 20 publications

References 29 publications

Design of Broadband Compressed Sampling Receiver Based on Concurrent Alternate Random Sequences

Design of Broadband Compressed Sampling Receiver Based on Concurrent Alternate Random Sequences

Concurrent Multiband Direct RF Sampling Receivers

Active-Passive Combined Control System in Crane Type for Heave Compensation

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