Untitled

Spangenberg, S.M.; Scott, Iain; McLaughlin, Stephen; Povey, G.J.R.; Cruickshank, D.G.M.; Grant, Peter

doi:10.1023/a:1008848916834

Cited by 92 publications

(10 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The derivation of Equations (5) and (6) can also be found in Reference [29,30,42]. We can finally acquire the PRN code phase and frequency estimation based on the FFT results.…”

Section: Fft Acquisition Based On Partial Matched Filtermentioning

confidence: 99%

Fine Frequency Acquisition Scheme in Weak Signal Environment for a Communication and Navigation Fusion System

et al. 2019

View full text Add to dashboard Cite

A novel communication and navigation fusion system (CNFS) was developed to realized high accuracy positioning in constrained conditions. Communication and navigation fusion signal transmitted by base stations are in the same time and frequency band but are allocated different power levels. The positioning receiver of CNFS requires signal coverage of at least four base stations to realize positioning. The improvement of receiver sensitivity is an important way to expand signal coverage of base station. As an essential stage of signal processing in CNFS positioning receiver, signal acquisition requires a trade-off between improvement of acquisition frequency accuracy and reduction in computational load. A new acquisition algorithm called PMF-FC-BA-FFT method is proposed to acquire the carrier frequency accurately with lower computational load in a weak signal environment. The received signal is firstly filtered by partially matched filters (PMF) with local replica pseudorandom noise (PRN) sequences being coefficients to strip off the PRN code in the signal. Frequency compensation (FC) was performed to avoid the large attenuation in block accumulation (BA) and generate a series of signals with a small frequency offset step. Block accumulation was then executed. Finally, the acquisition detection was performed based on a series of fast Fourier transformation (FFT) outputs to obtain acquisition results with fine frequency estimation. Simulations and experimental tests results show that the proposed method can realize high accuracy frequency acquisition in a weak signal environment with fewer computational resources compared with existing acquisition methods.

show abstract

“…The derivation of Equations (5) and (6) can also be found in Reference [29,30,42]. We can finally acquire the PRN code phase and frequency estimation based on the FFT results.…”

Section: Fft Acquisition Based On Partial Matched Filtermentioning

confidence: 99%

Fine Frequency Acquisition Scheme in Weak Signal Environment for a Communication and Navigation Fusion System

et al. 2019

View full text Add to dashboard Cite

show abstract

“…This process does not increase the signal bandwidth, but improves DFT resolution (Lyons, 2010;Spangenberg et al, 2000). In this case the DFT basis functions can better match the original signal and the associated integer frequencies can lie in bins thus minimizing spectrum leakage.…”

Section: Simulationmentioning

confidence: 99%

“…In this case the DFT basis functions can better match the original signal and the associated integer frequencies can lie in bins thus minimizing spectrum leakage. The amount of zero padding influences computational time as presented by Spangenberg et al (2000). In this simulation, a zero padding length of 99,000 was adopted.…”

Section: Simulationmentioning

confidence: 99%

A simple approach to calculate active power of electrosurgical units

et al. 2016

View full text Add to dashboard Cite

Introduction: Despite of more than a hundred years of electrosurgery, only a few electrosurgical equipment manufacturers have developed methods to regulate the active power delivered to the patient, usually around an arbitrary setpoint. In fact, no manufacturer has a method to measure the active power actually delivered to the load. Measuring the delivered power and computing it fast enough so as to avoid injury to the organic tissue is challenging. If voltage and current signals can be sampled in time and discretized in the frequency domain, a simple and very fast multiplication process can be used to determine the active power. Methods: This paper presents an approach for measuring active power at the output power stage of electrosurgical units with mathematical shortcuts based on a simple multiplication procedure of discretized variables -frequency domain vectors -obtained through Discrete Fourier Transform (DFT) applied on time-sampled voltage and current vectors. Results: Comparative results between simulations and a practical experiment are presented -all being in accordance with the requirements of the applicable industry standards. Conclusion: An analysis is presented comparing the active power analytically obtained through well-known voltage and current signals against a computational methodology based on vector manipulation using DFT only for time-to-frequency domain transformation. The greatest advantage of this method is to determine the active power of noisy and phased out signals with neither complex DFT or ordinary transform methodologies nor sophisticated computing techniques such as convolution. All results presented errors substantially lower than the thresholds defined by the applicable standards.

show abstract

“…At the crossover point, the associated gain output appears on the trough, presenting the phenomenon of the Scalloping Loss. Reference [4] proposes two solutions, storage zeros and windowing, and makes a thorough analysis to the former one. This paper focuses on the study and improvement of the windowing method.…”

Section: Scalloping Lossmentioning

confidence: 99%

“…In the paper, he analyzed the method of using FFT compensation method to solve the problem of large offset acquisition in the system, and the capture structure he used was the prototype of PMF-FFT algorithm. G.J.Povey, who first proposed this kind of algorithm which was based on [1] and made an efficient study and analysis [2][3][4], has gotten significant conclusions, making great contributions to the later development of the algorithm.…”

Section: Introductionmentioning

confidence: 99%

Research on An Improved PMF-FFT Fast PN Code Acquisition Algorithm

Liu¹,

Sun²,

Guan³

2013

View full text Add to dashboard Cite

To solve the problem of the large Doppler frequency offset in the LEO communication system, this paper studies a rapid PN code acquisition method based on the PMF-FFT architecture, which searches the phase and frequency offset and at the same time reduces the acquisition time. It presents an improved method equivalent to windowing function and uses windowing process to overcome the attenuation of related peak envelope caused by partial matched filters.

show abstract

Untitled

Cited by 92 publications

References 10 publications

Fine Frequency Acquisition Scheme in Weak Signal Environment for a Communication and Navigation Fusion System

Fine Frequency Acquisition Scheme in Weak Signal Environment for a Communication and Navigation Fusion System

A simple approach to calculate active power of electrosurgical units

Research on An Improved PMF-FFT Fast PN Code Acquisition Algorithm

Contact Info

Product

Resources

About